Artificial Intelligence Engineer Jobs in UAE

<p>Location :- Abu Dhabi</p><p>Brief about company :- Sigma Engineering Works (SEW) is qualified to engineer and fabricate a full range of products based on customer specification, raising the bar in safety standards and reliable delivery. Sigma Engineering Works is an engineering service company, offering fabrication, manufacturing, service & repair, and other services to the energy industry. The company prides itself on offering a diverse and comprehensive range of products and services for the oil and gas industry that meet the highest of QHSE standards. Its services fall under machine and fabrication, blasting, painting, welding and fitting.</p><p>Sigma Engineering Works (SEW) is part of Mazrui International - Diversified holding group with wide variety of businesses in Oil & Gas/Oilfield Services, Financial Investments, Real Estate, Construction, Retail, Trading, Distribution, Logistics, Transportation, Hospitality, Education etc.</p><br><p>Designation :- Design Engineer – ASME BPVC | Oil & Gas Fabrication & Manufacturing | Pressure Vessels, Heat Exchangers, Storage Tanks & Static Equipment Reporting to :- Engineering Manager Job Objective :- To support the growth of the organization through effective project management and control, contributing to the accurate and timely completion of contracts. Assist the project management team in the preliminary execution stage of projects and ensure competitive pricing of tenders to maximize sales and the growth of SEW <strong>Key Responsibilities & Authority :-</strong></p><ul><li><p>Develop detailed designs for pressure vessels, heat exchangers, columns, skids, and packages, ensuring compliance with ASME Section VIII Divisions 1 and 2. This includes defining materials, thickness, support structures, nozzles, and more.</p></li><li><p>Perform code calculations for stress analysis, material selection, and other critical design parameters, ensuring designs adhere to the ASME Boiler and Pressure Vessel Code (BPVC).</p></li><li><p>Prepare and review technical documents, drawings, and specifications in compliance with ASME and company standards.</p></li><li><p>Design, direct, and coordinate all project-related activities, including fabrication, assembly, inspection, and testing, while ensuring alignment with contractual obligations and profit margins.</p></li><li><p>Review contract/tender documentation with the Engineering Manager, ensuring comprehensive understanding, and lead the development of project plans.</p></li><li><p>Coordinate with internal departments and sub-contractors for engineering deliverables such as design calculations, project schedules, method statements, ITPs, WPS, PQRs, and other related documents.</p></li><li><p>Prepare Material Take-Off (MTO) and Technical Data Sheets (TDS) for projects.</p></li><li><p>Represent SEW in front of clients and third-party organizations, including during ASME audits.</p></li><li><p>Liaise with clients and third parties to ensure engineering deliverables meet specifications and obtain necessary approvals.</p></li><li><p>Proactively identify project bottlenecks and implement corrective actions to ensure progress.</p></li><li><p>Prepare and manage technical queries, discuss them with the estimation team, and clarify with the client when needed.</p></li><li><p>Oversee or assist in the inspection of pressure vessels, columns, heat exchangers, and other components, ensuring they meet ASME standards.</p></li><li><p>Ensure that non-destructive testing (NDT) methods such as radiographic, ultrasonic, and hydro testing are conducted as per project requirements.</p></li><li><p>Maintain detailed records of design calculations, inspections, and project tasks, ensuring all documentation is available for audits and future reference.</p></li><li><p>Utilize specialized design and analysis tools such as PV Elite, COMPRESS, AutoCAD, SolidWorks, ANSYS, and HTRI for engineering calculations, modeling, and project management.</p></li><li><p>Engage in research and development initiatives to improve designs, reduce costs, and enhance safety and efficiency.</p></li><li><p>Participate in continuous improvement efforts related to equipment design and ASME compliance.</p></li><li><p>Act as a PRC and represent SEW in front of ASME during audits.</p></li><li><p>Ensure full compliance with ASME and other related audits, addressing any non-compliance issues promptly.</p></li><li><p>Monitor the performance of the SEW construction/installation team and participate in post-project reviews to identify learning opportunities.</p></li><li><p>Assist with project estimation, tendering, and project planning during the tender stage.</p></li><li><p>Coordinate with clients and third parties for seamless execution of deliverables.</p></li></ul><br><p><strong>Specialized Knowledge :-</strong></p><ul><li><p>In-depth knowledge of ASME Section VIII Divisions 1 and 2 for the design, fabrication, and inspection of pressure vessels, heat exchangers, columns, and skids.</p></li><li><p>Familiarity with ASME Boiler and Pressure Vessel Code (BPVC) and its applications in industrial design projects.</p></li><li><p>Proficient in ANSI, ASTM, API, BS, TEMA, AWWA, NACE, SHELL, NEMA, and other relevant industry standards for mechanical design and fabrication.</p></li><li><p>Expertise in PV Elite, COMPRESS, AutoCAD, SolidWorks, and ANSYS for performing design, stress analysis, and creating 3D models of equipment.</p></li><li><p>Proficiency in HTRI for the thermal design of heat exchangers.</p></li><li><p>Knowledge of MS Project or other planning software for managing timelines and resources.</p></li><li><p>Understanding of various NDT methods such as radiographic, ultrasonic, hydro testing, and their application in pressure vessel and component inspections.</p></li><li><p>Strong understanding of material selection and the impact of stress, temperature, and environmental conditions on materials used in pressure vessels, heat exchangers, and piping systems.</p></li><li><p>Experience in the estimation and tendering process for pressure vessels, piping systems, and skids, including material take-offs (MTO), technical data sheets (TDS), and cost estimation.</p></li><li><p>Skilled in performing mechanical stress analysis for static and dynamic loads, calculating wall thickness, reinforcement, nozzle placements, and flange ratings as per ASME standards.</p></li></ul><br><p>Ability & Skills :-</p><ul><li><p>Ability to work within specific timeframes and deliver results while ensuring project timelines, budgets, and technical requirements are met. Supports the growth of the organization through effective management and control for timely contract completion.</p></li><li><p>Proficient in performing mechanical stress analysis and design calculations for pressure vessels, heat exchangers, and other equipment. Skilled in the use of specialized software such as PV Elite, COMPRESS, AutoCAD, SolidWorks, and ANSYS.</p></li><li><p>Strong accuracy and attention to detail in preparing designs, technical documents, and reports, ensuring compliance with ASME and industry standards.</p></li><li><p>Proactively identifies and resolves bottlenecks in project progress, ensuring smooth execution and alignment with client expectations.</p></li><li><p>A good communicator, able to work with all levels of the SEW team, external groups, clients, and third parties. Supports the tendering process by offering technical advice to promote business opportunities.</p></li><li><p>A flexible and proactive member of the engineering and project management teams, adaptable to dynamic environments such as busy workshops and on-site locations.</p><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Experience :-</strong></p><ul><li><p>Minimum of 10 years of experience in <strong>designing pressure vessels, heat exchangers, and similar equipment under ASME codes.</strong></p></li><li><p>Proficient in <strong>PV Elite, COMPRESS, AutoCAD, SolidWorks, ANSYS, and MS Office.</strong></p></li></ul><br><p><strong>Academic Qualifications :-</strong> Bachelor’s degree in <strong>Engineering/Mechanical or Petroleum.</strong></p><br><p><strong>Accountabilities and Performance Measures :-</strong></p><ul><li><p>Timely completion of tenders and projects.</p></li><li><p>Compliance with ASME standards and project requirements.</p></li><li><p>Efficient staffing, material use, and budget adherence.</p></li><li><p>Positive client feedback and precision in technical documentation.</p></li><li><p>Successful project management, implementation of improvements, and resolution of performance issues.</p></li></ul><br><p><strong><em>Please apply by attaching your CV only if you have relevant experience and qualifications.</em></strong></p><p><strong><em>Due to high volume of applications, only shortlisted candidates will be contacted.</em></strong></p>

Company Description Al Tawsa Group of Company is a diversified organization operating across multiple sectors, with a focus on delivering reliable, high-quality services and solutions. The company emphasizes professional standards, efficient project execution, and long-term client relationships. Team members are encouraged to contribute ideas, take ownership of their work, and collaborate across disciplines. The Musaffah location supports a range of industrial and technical activities, offering opportunities for growth and hands-on experience on complex projects.<br>Role Description The Mechanical Draughtsman is a full-time, on-site role based in Musaffah. The role involves preparing detailed mechanical drawings, plans, and diagrams using CAD software in accordance with engineering specifications and standards. Day-to-day tasks include interpreting technical documents and sketches, updating drawings based on engineer and client feedback, and maintaining accurate documentation of revisions. The Mechanical Draughtsman will collaborate with engineers, project managers, and other technical staff to ensure designs are practical, safe, and aligned with project requirements. The position also includes coordinating with fabrication or installation teams, supporting quality checks on drawings, and meeting project deadlines.<br>Qualifications<br> Strong proficiency in mechanical drafting and CAD software (e.g., Auto CAD, Solid Works, or similar). Ability to read and interpret engineering drawings, technical specifications, and standards. Knowledge of mechanical systems, materials, tolerances, and fabrication or installation processes. Attention to detail and accuracy in preparing and revising drawings and documentation. Effective communication and collaboration skills for working with engineers, supervisors, and project teams. Relevant technical diploma or degree in Mechanical Engineering or Drafting, or equivalent practical experience. Prior experience as a Mechanical Draughtsman or in a similar role in an industrial or construction environment is an advantage. Ability to work on-site in Musaffah and manage time effectively to meet project schedules.

<ul><li><p>he AI Engineer is responsible for developing, testing, and deploying AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. This role also includes the ability to deploy and run LLMs on local/on-premise servers, supporting secure and efficient AI solution delivery in enterprise environments. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Strong programming skills in Python. Hands-on experience with: o Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow) o Basic NLP concepts Understanding of ML model lifecycle (training, evaluation, deployment). Familiarity with REST APIs and integration concepts. Experience with Git/version control.</p></li></ul>

BK Gulf is a leading contractor in electrical, mechanical, instrumentation and building services within the UAE & Middle East markets.<br>It provides integrated engineering solutions which encompass design, procurement, construction, project management, commissioning and facilities management tailored to clients’ requirements.<br>The highest professional standards of workmanship and service are maintained through BK Gulf’s commitment to efficient planning, the use of highly skilled craftsman and the maintenance of permanent local teams.<br>BK Gulf has an excellent record in providing value-added engineering, installation and service skills to customers for whom quality, efficiency and reliability are critical.<br>BK Gulf is a Dutco Group company.<br>Role Overview:<br>We are seeking a highly motivated and experienced Mechanical Engineer to join our team in Dubai, United Arab Emirates. The successful candidate will be responsible for the design, coordination, and delivery of HVAC, cooling, ventilation, pressurization, and fire protection systems for modular E-Houses and data center projects, ensuring compliance with project requirements, applicable codes, and industry standards. The role includes providing technical support throughout the project lifecycle, from design and fabrication to installation, commissioning, and handover.<br>Key Responsibilities:<br>Design and develop mechanical systems, including HVAC, ventilation, cooling, and pressurization systems, for modular E-Houses and data center units. Engineer and integrate fire protection systems, including fire detection, alarm, suppression, and fire-rated compartmentation, in compliance with NFPA standards and project requirements. Coordinate multidisciplinary engineering deliverables with electrical, structural, and manufacturing teams to ensure seamless modular fabrication and installation. Review and validate technical documents, equipment specifications, and vendor submittals, ensuring compliance with project requirements and applicable international codes and standards. Support the construction, testing, and commissioning of mechanical and fire protection systems, resolving technical issues and ensuring compliance with quality, safety, and performance standards. Provide technical guidance and engineering support throughout the project lifecycle, from design through commissioning and handover.<br>Qualifications and Experience:<br>Bachelor of Science in Mechanical Engineering. Minimum 5 years of experience in mechanical engineering, with experience in data centers, E-Houses, modular buildings, industrial facilities, or mission-critical projects. Proven experience in the design of HVAC, cooling, ventilation, and pressurization systems. Proficiency in engineering software such as Auto CAD, Revit, BIM, and related software. Experience reviewing technical specifications, vendor submittals, and construction drawings. Knowledge of testing, commissioning, and handover processes for mechanical and fire protection systems. Strong coordination, communication, and project management skills.

<p>We are seeking a skilled Mechanical Engineer to join our dynamic construction team in Dubai. The ideal candidate will play a key role in designing, developing, and overseeing mechanical systems to ensure the successful completion of our construction projects. This position offers the opportunity to work in a fast-paced environment where innovation and precision are highly valued. Responsibilities: - Design, develop, and supervise mechanical systems and components for construction projects. - Collaborate with architects, civil engineers, and other stakeholders to ensure integrated and efficient project completion. - Conduct site inspections and surveys to monitor mechanical installations and ensure compliance with safety and quality standards. - Prepare technical drawings, specifications, and project reports. - Perform calculations and simulations to validate system designs and performance. - Identify and resolve mechanical issues promptly to avoid delays and cost overruns. - Stay updated on industry best practices, materials, and technologies relevant to mechanical engineering in construction.</p><p>- Bachelor's degree in Mechanical Engineering or related field. - Proven experience in mechanical engineering within the construction industry. - Strong understanding of mechanical systems, HVAC, plumbing, and fire protection. - Proficiency in computer-aided design (CAD) software and other engineering tools. - Excellent problem-solving and analytical skills. - Ability to work collaboratively within multidisciplinary teams. - Strong communication and interpersonal skills. - Familiarity with local building codes, regulations, and safety standards. - Willingness to work on-site in Dubai and manage multiple projects effectively.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job LEAD DISCIPLINE ENGINEER (FIELD) - MECHANICAL <p>We are looking for a highly experienced Lead Discipline Engineer (Field) – Mechanical to oversee and support all field mechanical engineering activities on a major onshore oil and gas project. The successful candidate will ensure that mechanical installation, testing, mechanical completion, pre-commissioning, and commissioning activities are executed safely, efficiently, and in compliance with project specifications, applicable codes, and client requirements.</p><br> <p><strong>JOB RESPONSIBILITIES:</strong></p><br> <ul> <li>Lead and supervise all onshore mechanical field engineering activities during construction, pre-commissioning, and commissioning phases </li> <li>Ensure mechanical installation works are executed in accordance with approved drawings, project specifications, applicable codes, and client requirements </li> <li>Coordinate with construction, engineering, QA/QC, commissioning, and operations teams to resolve field mechanical engineering issues </li> <li>Review and provide technical support for the installation of static and rotating equipment, piping systems, packages, pressure vessels, tanks, heat exchangers, and field design modifications </li> <li>Monitor construction progress and ensure compliance with project schedules, safety requirements, and quality standards </li> <li>Review and approve field technical queries (TQs), site instructions, method statements, and engineering change requests </li> <li>Provide technical guidance on equipment installation, piping erection, alignment, hydrotesting, flushing, bolting, preservation, and mechanical completion activities </li> <li>Participate in site inspections, walkdowns, punch list clearance, mechanical completion, and final acceptance activities </li> <li>Liaise with the client, EPC teams, subcontractors, and other stakeholders on all mechanical field engineering matters </li> </ul> <p><strong>KEY QUALIFICATIONS:</strong></p><br> <ul> <li>Bachelor's degree in mechanical engineering or equivalent Engineering discipline </li> <li>Minimum 15–20 years of experience in mechanical engineering, with significant experience in onshore field engineering for oil and gas projects </li> <li>Proven track record on large-scale onshore oil and gas, gas processing, or petrochemical projects </li> <li>Strong expertise in mechanical installation, construction support, static and rotating equipment, piping systems, mechanical completion, pre-commissioning, and commissioning activities </li> <li>Thorough knowledge of international codes and standards including ASME, API, ASTM, ISO, and relevant client specifications </li> <li>Experience with ADNOC Onshore projects is strongly preferred </li> <li>Strong leadership, coordination, and multidisciplinary communication skills </li> <li>Familiarity with engineering documentation, field engineering procedures, and construction management practices.</li> </ul><p>VERTICAL</p><br><p>ENGINEERING</p><br> <br> <br> </div>

We are looking for an experienced AI Software Engineer to develop and deploy AI-powered capabilities for a large-scale enterprise platform. You will build production-grade AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), speech technologies, and real-time AI pipelines. Key Responsibility:Design, develop, and deploy AI-powered applications using Python and modern AI frameworks. Build and integrate LLM, RAG, and AI inference services into enterprise applications. Develop real-time Speech-to-Text (STT), Text-to-Speech (TTS), and speaker diarization pipelines. Build intelligent features such as AI assistants, document generation, summarization, and conversational AI. Develop low-latency streaming AI pipelines for production environments. Optimize AI models and inference performance for scalability and reliability. Integrate AI services with backend APIs and enterprise platforms. Collaborate with cross-functional teams to deliver secure, scalable AI solutions. Write clean, maintainable, and well-tested code following engineering best practices. <br>Required Experience:7+ years of experience in AI/ML or Generative AI application development. Strong programming experience in Python. Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Experience integrating AI services using APIs and inference endpoints. Experience building real-time or streaming AI applications. Strong understanding of REST APIs, microservices, and cloud-native application development. Experience with Git, CI/CD, and containerized deployments.<br>Preferred Experience:Experience with Speech-to-Text (STT), Text-to-Speech (TTS), or speaker diarization. Experience with Microsoft Azure AI services or Azure Open AI. Experience with Lang Chain, Semantic Kernel, Llama Index, or similar orchestration frameworks. Experience working on enterprise digital transformation or AI platform projects. Familiarity with multilingual AI applications (Arabic is an advantage).

We are looking for an experienced AI Software Engineer to develop and deploy AI-powered capabilities for a large-scale enterprise platform. You will build production-grade AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), speech technologies, and real-time AI pipelines. Key Responsibility:Design, develop, and deploy AI-powered applications using Python and modern AI frameworks. Build and integrate LLM, RAG, and AI inference services into enterprise applications. Develop real-time Speech-to-Text (STT), Text-to-Speech (TTS), and speaker diarization pipelines. Build intelligent features such as AI assistants, document generation, summarization, and conversational AI. Develop low-latency streaming AI pipelines for production environments. Optimize AI models and inference performance for scalability and reliability. Integrate AI services with backend APIs and enterprise platforms. Collaborate with cross-functional teams to deliver secure, scalable AI solutions. Write clean, maintainable, and well-tested code following engineering best practices. <br>Required Experience:7+ years of experience in AI/ML or Generative AI application development. Strong programming experience in Python. Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Experience integrating AI services using APIs and inference endpoints. Experience building real-time or streaming AI applications. Strong understanding of REST APIs, microservices, and cloud-native application development. Experience with Git, CI/CD, and containerized deployments.<br>Preferred Experience:Experience with Speech-to-Text (STT), Text-to-Speech (TTS), or speaker diarization. Experience with Microsoft Azure AI services or Azure Open AI. Experience with Lang Chain, Semantic Kernel, Llama Index, or similar orchestration frameworks. Experience working on enterprise digital transformation or AI platform projects. Familiarity with multilingual AI applications (Arabic is an advantage).

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) .<br> The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an on-premises environment using local AI models and tools.<br> Key Responsibilities Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.<br> Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.<br> Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.<br> Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.<br> Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.<br> Optimize AI models, prompts, workflows, and application performance.<br> Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.<br> Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.<br> Provide technical support, troubleshooting, performance tuning, and continuous improvements.<br> Design and implement AI solutions using on-premises infrastructure, local models, and enterprise-approved AI tools .<br> Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.<br> 5+ years of software development experience, including 2+ years working with AI/Generative AI technologies.<br> Strong experience with Python and AI application development.<br> Hands-on experience with Large Language Models (LLMs) and prompt engineering.<br> Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.<br> Experience building Agentic AI or multi-agent systems.<br> Experience integrating AI applications with REST APIs , databases, and enterprise applications.<br> Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen , or similar.<br> Experience working with vector databases such as Milvus, ChromaDB, FAISS, Pinecone , or equivalent.<br> Knowledge of model deployment using Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM , or similar on-premises inference platforms.<br> Experience deploying and managing AI solutions in on-premises environments .<br> Understanding of AI security, governance, privacy, and Responsible AI principles.<br> Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.<br> Strong analytical, problem-solving, communication, and documentation skills.<br> Preferred Skills Experience with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or DeepSeek .<br> Experience with GPU infrastructure and AI model optimization.<br> Knowledge of MLOps practices and AI monitoring.<br> Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.<br> Experience working in highly secure or regulated enterprise environments.<br> This JD is aligned with your requirement that all AI use cases must run on-premises using local models and on-premises tools , making it suitable for enterprise or government projects.<br></span> </div>

We have an urgent requirement for Senior AI Engineer / Agentic AI Engineer with Multimodal and Vision Models ,Azure Open AI, Azure AI Document Intelligence is required for our banking client in Abu Dhabi, UAE<br><br>Strong Experience In Multimodal And Vision Models- MUST<br><br>Strong experience in Image Embeddings and OCR ---Must<br><br>Build scalable Generative AI / RAG pipelines MUST<br><br>Strong experience on Azure AI Document Intelligence and Azure Openai GPT is THE MUST<br><br>Strong experience in Computer Vision---Must<br><br>We are hiring a highly skilled Senior AI Engineer / Agentic AI Engineer with strong experience delivering enterprise-scale AI solutions in Banking or Financial Services. The ideal candidate will have hands-on expertise in building Agentic AI systems, Generative AI pipelines, and production-grade Conversational AI / RAG platforms on Microsoft Azure.<br><br>You will work on real-world banking use cases such as Conversational AI, Document Intelligence, Agentic Workflow Automation, and Multimodal AI systems serving large user bases.<br><br>Key Responsibilities<br><br> Design and implement Agentic AI architectures for banking-grade enterprise applications Build scalable Generative AI / RAG pipelines using Azure Open AI and Azure AI Search Deliver production-grade AI systems with high availability, security, and performance Implement multimodal and multilingual AI solutions (Text + Vision, including English / Arabic) Develop document processing pipelines using Azure AI Document Intelligence Build Computer Vision workflows using Open CV Develop REST APIs using Fast API and deploy using Docker and Azure Containers Design embedding, vector search, and hybrid retrieval strategies Integrate Azure Cosmos DB / Document DB Implement CI/CD pipelines and Git-based workflows Collaborate closely with business stakeholders and engineering teams to deliver end-to-end AI solutions<br><br>???? Mandatory Skills<br><br> 3+ years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services, delivering enterprise-scale, production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure Open AI, Azure AI Search, Azure AI Document Intelligence, Azure Vision, Azure AI Foundry Agentic / LLM frameworks: Lang Graph, Lang Chain Advanced Prompt Engineering Computer Vision using Open CV API development using Fast API Git, Docker, Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelines<br><br>Good to Have<br><br> Open-source AI technologies (YOLO models, Deep Learning, NLP) Agent orchestration frameworks: Semantic Kernel, Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation, custom benchmarks, etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102)<br><br>???? Preferred Candidate Profile<br><br> Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design → build → deploy → scale) Currently based in UAE or willing to relocate to Abu Dhabi<br><br>Skills: ai,agentic,rag

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With a rare focus on this field, we offer specialized platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team.<br>&nbsp;</p><br><p>Among other internal services, we develop and operate a globally distributed data storage and auth services based on microservice architecture. We’re looking for a new team member who will help us to improve our auth and storage systems, creating new microservices, improving existing ones, doing regression, stress and performance testing.<br>&nbsp;</p><br><p><b>What you'll be doing:</b></p><br><ul><li><p>Participate in architecture design process of our distributed backend systems</p><br></li><li><p>Maintain and improve existing authentication and authorization microservices along with developing new ones (OCaml / Rust)</p><br></li><li><p>Connect with customers and provide technical support for APIs and client use cases</p><br></li><li><p>Improve unit and integration tests coverage</p><br></li><li><p>Participate in code review process</p><br></li></ul><p><b>What we need to see:</b></p><br><ul><li><p>Degree in Computer Science, Computer Engineering, or closely related field</p><br></li><li><p>5+ years of relevant experience, ideally in the area of system programming</p><br></li><li><p>Experience with programming and debugging skills in Linux environment</p><br></li><li><p>Deep understanding of HTTP and REST or other HTTP-based RPC protocols, e.g: Twirp or gRPC</p><br></li><li><p>Experience with multi-threaded and asynchronous network programming concepts and frameworks (NodeJS, Akka, Tornado, Erlang/OTP, Rust/Tower)</p><br></li><li><p>Strong habit to verify and document your work</p><br></li><li><p>Understanding deployment process and networking in Kubernetes</p><br></li><li><p>Excellent communication skills in verbal and written technical English, ability to present the current status and final project deliveries</p><br></li></ul><p><b>Ways to stand out from the crowd:</b></p><br><ul><li><p>Hands-on experience with Cassandra or similar databases and general curiosity about distributed systems and algorithms</p><br></li><li><p>Understanding of how modern protocols such as OAuth and OIDC work. Expertise in Active Directory and LDAP would be a big plus.</p><br></li><li><p>Track record of building secure systems handling sensitive data</p><br></li><li><p>Ability to debug and profile code on Linux: perf, tcpdump / Wireshark, strace, Valgrind, etc</p><br></li><li><p>Understanding functional programming paradigm and static strong type systems (relevant knowledge of Haskell, OCaml, F#, Scala, Rust, etc)</p><br></li></ul><p>With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us and, due to unprecedented growth, our best-in-class engineering teams are growing fast. If you're a creative and autonomous engineer with a genuinely real passion for technology, we want to hear from you.</p><br> </div>

menu close<br><br>Capture<br><br>Connect<br><br>Control<br><br>Company Careers 4 Contact<br><br>WH #7, Bin Bishr Building<br><br>Ras Al Khor, Dubai<br><br>+971 54 582 2023<br><br>info@resolute-dynamics.com<br><br>AI / ML Engineer<br><br>Apr 2, 2025 Resolute Dynamics<br><br>About The Role<br><br>We are looking for an AI/ML Engineer to join our team and contribute to the development, deployment, and optimization of machine learning models for real-world applications. This role provides an opportunity to work on cutting-edge AI technologies, improve model performance, and drive innovation in artificial intelligence and machine learning.<br><br>The Principal Responsibilities Of The AI /ML Engineer Are<br><br>Design, develop, and optimize machine learning models for various applications. Collect, preprocess, and analyze large datasets to improve model accuracy and efficiency. Deploy, monitor, and maintain ML models in production environments. Implement and fine-tune deep learning architectures using frameworks like Tensor Flow and PyTorch. Collaborate with cross-functional teams to integrate AI-driven solutions into products and services. Stay up to date with the latest advancements in AI, ML, and data science to enhance system performance.<br><br>Requirements<br><br>Qualifications Required<br><br>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms, deep learning techniques, and statistical modeling. Proficiency in Python and experience with ML frameworks such as Tensor Flow, PyTorch, or Scikit-Learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation. The ability to effectively communicate technical concepts verbally and in writing. Ability to operate in a fast-paced environment, make effective and timely decisions, and solve complex problems.<br><br>Qualifications Preferred<br><br>Master’s degree or PhD in AI, Machine Learning, or a related field. At least 2+ years of professional experience in AI/ML development. Experience working with cloud platforms (AWS, GCP, or Azure) for ML model deployment. Knowledge of MLOps, model monitoring, and performance optimization techniques. Familiarity with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Prior experience working at a startup or fast-growing tech company.<br><br>Aug 26, 2026<br><br>Building a Unified Fleet Data API Gateway<br><br>Most fleets do not run one telematics system; they run several, and each one keeps its data behind its own login, its own API, and its own format. A unified fleet data API gateway solves this by putting a single, consistent interface in front of every vendor, so each vehicle<br><br>Read More<br><br>Stay up-to-date with what's next<br><br>Δ<br><br>By signing up to receive emails from Resolute, you agree to our Privacy Policy.<br><br>segments<br><br>Capture Connect Control<br><br>the company<br><br>ABOUTBLOGCAREERSCONTACTSITEMAP<br><br>Social<br><br>Linked InInstagram Facebook<br><br>Contact<br><br>Bin Bishr Building – Warehouse No:07, Ras Al Khor Industrial Area 1, Dubai, UAE<br><br>PO Box No : 35450<br><br>Phone: +971 54 582 2023<br><br>Email: info@resolute-dynamics.com<br><br>© 2026 Resolute Dynamics.<br><br>Privacy policy Press resources

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><p>This role focuses on reviewing and ensuring compliance of MEP designs (HVAC, plumbing, fire protection, district cooling, grey water treatment, and automated waste management systems) with project specifications, codes, and sustainability standards such as Mostadam and LEED. The position involves analyzing energy efficiency, identifying design issues, providing technical recommendations, and coordinating with architects, engineers, and other stakeholders to integrate MEP systems seamlessly into building designs.</p><br>Your role<ul><li><p>MEP Designs review for compliance with project specifications, standards, and codes including HVAC, plumbing, fire protection systems, district cooling plants, grey water treatment plant &amp; Automatic waste management plant.</p><br></li><li><p>Analyze and optimize the energy efficiency and sustainability of mechanical systems.</p><br></li><li><p>Ensure the quality and accuracy of MEP designs through thorough review and analysis.</p><br></li><li><p>Identify design issues and discrepancies in MEP systems.</p><br></li><li><p>Provide technical advice and recommendations to design teams to improve MEP system designs.</p><br></li><li><p>Verify that all MEP designs comply with relevant building codes, standards, and regulations.</p><br></li><li><p>Prepare and maintain detailed review reports, specifications, and other project documentation. Knowledge of Mostadam, LEED.</p><br></li><li><p>Knowledge of installation, testing, and commissioning of mechanical systems.</p><br></li></ul>About you<p><b>Qualifications&nbsp;</b></p><br><ul><li><p>Experience in Mechanical related type projects&nbsp;required.&nbsp;</p><br></li><li><p>Candidates must have experience in Construction Supervision with a Consultancy with a minimum of 12+ years of overall experience (minimum 8 years in the UAE).</p><br></li><li><p>Buildings / High-rise / Villa project experience is preferred.</p><br></li><li><p>For the Engineer position, a&nbsp;Bachelor&nbsp;degree in Mechanical Engineering is&nbsp;required.&nbsp;</p><br></li></ul><p><b>Specific Skills Required&nbsp;</b></p><br><ul><li><p>Bachelor's degree in Mechanical, or Plumbing Engineering or a related field.</p><br></li><li><p>At least 12 years of experience in MEP.</p><br></li><li><p>Good knowledge in basic design requirements, familiar with Mechanical methodologies and installation processes and procedures. Knowledge of the Building Codes.&nbsp;</p><br></li><li><p>Effective oral and written communication skills.&nbsp;</p><br></li><li><p>Competent at writing reports – can present views clearly and concisely in good written English.&nbsp;</p><br></li><li><p>Detailed knowledge of construction techniques.&nbsp;</p><br></li></ul>Rewards &amp; benefits<p>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</p><br><p>This includes:</p><br><ul><li><p>Tax-free salary.</p><br></li><li><p>Comprehensive life insurance coverage.</p><br></li><li><p>Discretionary bonus program.</p><br></li><li><p>Annual flight contribution.</p><br></li><li><p>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</p><br></li></ul><p>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><br>About AtkinsRéalis<p>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p><br><p>Find out more. </p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced Senior Solution Architect with strong expertise in Solution Architecture and Security Architecture to support Digital Products and Wealth Management initiatives within a leading banking environment.<br> The ideal candidate will possess deep technical expertise across modern enterprise architectures, banking and wealth management domains, cyber security controls, and cloud-native technologies.<br> The role requires a highly solution-oriented individual with strong leadership capabilities and experience designing resilient, secure, scalable, and high-performing enterprise applications.<br> The successful candidate will work closely with business and technology stakeholders to deliver end-to-end architectural solutions aligned with business objectives, regulatory requirements, and industry best practices.<br> Key Responsibilities Design and architect end-to-end enterprise solutions across Digital Products and Wealth Management platforms.<br> Define and maintain architecture standards, principles, reference architectures, and reusable solution blueprints.<br> Deliver secure, scalable, resilient, and cloud-native architecture designs aligned with business and technology strategies.<br> Collaborate with cross-functional teams including delivery, engineering, infrastructure, security, and business stakeholders.<br> Participate in architecture governance, peer reviews, and technical design workshops.<br> Drive architectural decisions across applications, APIs, event-driven systems, and microservices ecosystems.<br> Ensure all architecture designs incorporate performance, reliability, customer experience, resiliency, and security considerations.<br> Mentor and coach junior architects and engineering teams where required.<br> Contribute to architecture capability building initiatives, technical workshops, and best practice frameworks.<br> Continuously evaluate emerging technologies and architecture patterns to improve enterprise delivery capabilities.<br> Domain Experience (Mandatory) Strong experience in one or more of the following domains: Banking Wealth Management Asset Management Lending Financial Services Preferred: Corporate Banking domain experience.<br> Candidates should demonstrate the ability to quickly learn and adapt to new banking domains and business capabilities.<br> Technical Skills &amp; ExperienceArchitecture &amp; Solution Design 8+ years of experience designing enterprise-scale solutions and architectures.<br> Strong experience building High-Level Designs (HLDs) and end-to-end solution architectures.<br> Expertise designing: Backend applications Frontend applications Mobile applications APIs Microservices architectures Event-driven architectures Message brokers Container-based applications Cloud-native applications Experience designing highly available, resilient, and scalable enterprise systems.<br> Microservices &amp; Cloud Technologies Strong experience with: API-based ecosystems Microservices architecture Event streams and messaging systems Container-based infrastructure Cloud-native architectures Modern architectural design patterns and principles Ability to evaluate architectural trade-offs and justify design decisions based on business and technical requirements.<br> Security Architecture (Mandatory) Strong understanding of: Security Architecture principles Data Classification frameworks Regulatory compliance requirements Threat Modelling methodologies Security requirements engineering Experience implementing cyber and information security controls including: Authentication Authorization Encryption standards and key management Data security controls Security event logging Monitoring and alerting mechanisms Regulatory &amp; Compliance Knowledge Exposure to: PCI-DSS UAE Central Bank regulations GDPR Banking regulatory and compliance requirements Cyber Security Working knowledge of: Cyber security controls Secure application design principles Defensive security practices Security architecture frameworks System attack and defence methodologies Artificial Intelligence (Preferred) Exposure to modern AI technologies including: Machine Learning Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Embedding Models Vector Databases Model Context Protocol (MCP) AI Agents Agentic AI GitHub Copilot Claude Code AI-assisted software engineering tools Agile Delivery Experience Strong experience working in Agile environments including: Agile Tribes and Squads model Sprint Planning Quarterly Planning Sprint Refinement Sprint Retrospectives Agile ceremonies and delivery frameworks Experience delivering: Features Epics User Stories Acceptance Criteria Required Competencies Strong analytical and critical thinking capabilities.<br> Excellent stakeholder and expectation management skills.<br> Strong communication and presentation skills.<br> Ability to make autonomous technical decisions.<br> Strong mentoring and leadership capabilities.<br> Delivery-focused mindset with attention to quality, performance, resiliency, and security.<br> Strong learning agility and passion for emerging technologies.<br> Ability to work effectively in fast-paced Agile delivery environments.<br> Nice to Have Corporate Banking experience.<br> Experience delivering architecture education workshops.<br> Experience conducting architecture peer review sessions.<br> Exposure to modern AI-enabled software engineering practices.<br> Experience defining reusable enterprise architecture blueprints and reference architectures.<br> What We're Looking For The ideal candidate will have a strong combination of Solution Architecture, Security Architecture, Banking domain expertise, and modern cloud-native engineering experience.<br> You will be passionate about building secure and resilient enterprise platforms while driving architectural excellence across digital banking and wealth management initiatives.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions.<br> This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.<br> You will act as a technical pillar within the AI squad—collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines.<br> This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.<br> Key ResponsibilitiesGenerative &amp; Agentic AI Engineering Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.<br> Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.<br> Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.<br> Deep Learning &amp; Model Optimization Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.<br> Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.<br>g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.<br> Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.<br> Data &amp; MLOps Infrastructure Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.<br> Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.<br> Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.<br> Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).<br> Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.<br> AI, Modeling &amp; Frameworks Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.<br> Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.<br> A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.<br> High proficiency in configuring and querying Vector Databases (e.<br>g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.<br> Software Engineering &amp; Core Tools Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.<br> Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.<br>g., Pandas, NumPy, Polars, or PySpark) It would also be great if you had: An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.<br> Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.<br>g., familiarity with data privacy, compliance, and secure financial data models).<br> Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.<br></span> </div>

The job holder is responsible for designing, building, and operating production-grade AI agents on Microsoft Foundry — LLM-powered systems that reason, use tools, and orchestrate multi-step workflows against enterprise data and services. This is a hands-on, pro-code role: the engineer writes Python, integrates Azure services, and ships agentic applications that drive measurable business impact. The engineer works within agile teams alongside Product, Data Science, and Architecture to take agent use cases from prototype to production.<br>Key Responsibilities:<br>AI Agent Development on Microsoft Foundry Design, build, and deploy pro-code AI agents on Microsoft Foundry, leveraging its agent framework, model catalogue, and tool/function-calling capabilities. Integrate agents with Palantir Foundry via MCP (Model Context Protocol) to fetch enterprise data and execute Ontology actions, alongside other tool, retrieval, memory, and multi-agent orchestration patterns in Python. Build evaluation harnesses and guardrails (groundedness, safety, cost, latency) and iterate on prompts, tools, and architectures based on measured outcomes. LLM Engineering & Productionization Apply prompt engineering, structured output, RAG, and grounding techniques appropriate to each use case. Operate agents in production: observability, tracing, cost monitoring, regression testing, and incident response. Manage versioning of prompts, tools, and agent configurations alongside code. Azure & Platform Integration Integrate with Azure services (Azure Open AI, AI Search, Storage, Functions, Container Apps, Key Vault, Entra ID) to deliver secure, scalable agent solutions. Build and maintain CI/CD pipelines for agent deployment, including automated evals as a release gate. Implement authentication, authorization, secret management, and data-handling patterns aligned with enterprise security standards. Cross-functional Collaboration Work closely with Product Managers, Data Scientists, and IT Architects to translate agent use cases into delivery plans. Communicate trade-offs (model choice, latency, cost, accuracy) clearly to technical and non-technical stakeholders. Champion agentic patterns and reusable components across the engineering organization.<br>Qualifications:Software engineering experience with hands-on production experience building LLM-based / agentic systems (tool use, orchestration, RAG, evals). Bachelor’s Degree in Computer Science, Engineering, or related quantitative field Advanced degrees preferred. Strong Python — idiomatic, typed, tested; comfortable with async and modern packaging Proven experience building production AI agents in code (e.g. Microsoft Foundry / Azure AI Foundry, Semantic Kernel, Auto Gen, Lang Graph, Llama Index, Open AI Agents SDK, or equivalent custom frameworks) Microsoft Foundry experience strongly preferred (agent authoring, model catalog, connectors, deployment) Azure exposure — Azure Open AI, AI Search, identity, storage, serverless compute; familiarity with Azure Dev Ops or Git Hub Actions Deep working knowledge of LLM application patterns: tool/function calling, structured outputs, RAG, memory, multi-agent orchestration Experience with evaluation frameworks and observability for LLM systems (tracing, prompt/response logging, automated evals) Dev Ops fundamentals: Git, CI/CD, containers, infrastructure-as-code; exposure to data engineering and vector stores is a plus High-energy, ownership-driven mindset Strong problem-solving and analytical skills Excellent communication and collaboration abilities Comfortable navigating ambiguity and driving clarity Experience in agile/start-up environments preferred Track record of taking AI/ML or agent projects from prototype to production

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Who are we?</b></p><br><br><p><span><span>Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, </span><span>life</span><span> and planet.</span></span><br></p><br><br><p><span><span>A place where bold ideas are welcomed, human connection is valued, and everyone </span><span>has the opportunity to</span><span> shape their future.</span></span></p><br><br><br><br>A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.<br><br><p><b>Job Summary</b></p><br><br><p>The Lead Sales Engineer leads complex technical sales engagements across key accounts and is accountable for driving the technical win. The role combines customer discovery, solution design, technical strategy, whiteboarding, stakeholder engagement and cross-functional leadership to align Equinix capabilities to customer business and technology outcomes.</p><br><br><p>This role requires the ability to engage confidently with customer stakeholders on network architecture, application architecture and physical infrastructure design, and to identify how those environments can be improved for better performance, resilience, scalability and security.</p><br><br><br><p><b>Responsibilities</b></p><br><br><ul><li><p>Lead technical discovery, qualification and solutioning for strategic opportunities</p><br><br></li><li><p>Own the technical relationship with customers and act as a trusted advisor throughout the sales cycle</p><br><br></li><li><p>Understand customer business priorities, technical requirements, current-state architecture and target-state goals, then map them to Equinix solutions</p><br><br></li><li><p>Hold architecture-level discussions on network design, interconnection strategy and application environments, identifying opportunities for improvement and modernization</p><br><br></li><li><p>Design end-to-end solutions spanning data center, interconnection, cloud and hybrid infrastructure environments</p><br><br></li><li><p>Lead customer meetings, technical workshops, whiteboarding sessions and executive-level discussions with clarity and authority</p><br><br></li><li><p>Support complex RFIs, RFPs, quoting, technical documentation and customer deliverables</p><br><br></li><li><p>Influence internal stakeholders across sales, operations, capacity, customer success and other teams to support effective opportunity execution</p><br><br></li><li><p>Mentor other Sales Engineers and contribute to best practices, knowledge sharing and broader Solutions Engineering development</p><br><br></li></ul><br><p><b>Qualifications</b></p><br><br><ul><li><p>Bachelor’s degree in computer science or related engineering discipline</p><br><br></li><li><p>Proven years, in technical sales, pre-sales or solutions engineering, ideally in data center, cloud, networking or telecommunications environments</p><br><br></li><li><p>Strong understanding of data center infrastructure, interconnection, network modernization and hybrid cloud architectures</p><br><br></li><li><p>Ability to discuss customer network architecture and application architecture in a credible, consultative way and recommend practical improvements</p><br><br></li><li><p>Proven success leading complex customer engagements and influencing technical and business stakeholders</p><br><br></li><li><p>Excellent communication, presentation and relationship-building skills</p><br><br></li><li><p>Ability to work independently, manage multiple priorities and perform effectively in a fast-changing environment</p><br><br></li><li><p>Strong English written and verbal communication skills</p><br><br></li></ul><br><p>Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.&nbsp; If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. </p><br><br><br><p>Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.&nbsp; All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.&nbsp;</p><br><br><br><p><b>We use artificial intelligence in our hiring process. Learn more </b><span><b><u>here</u></b></span><b>.</b></p><br><br>&amp;#xa;This posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.&amp;#xa;<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> </span><p><strong><span>1</span></strong></p><br> <p><strong><span>Job Details</span></strong></p><br> <br> <p><strong><span>Job Title</span></strong></p><br> <p><span>Senior AI Infrastructure Architect</span></p><br> <br> <p><strong><span>Department</span></strong></p><br> <p><span>Technology</span></p><br> <p><strong><span>Section</span></strong></p><br> <p><span>Enterprise Architecture </span></p><br> <p><strong><span>Unit</span></strong></p><br> <p><span>NA </span></p><br> <br> <p><strong><span>Direct Manager</span></strong></p><br> <p><span>Enterprise Architecture Section Head</span></p><br> <br> <p><strong><span>Direct Reports</span></strong></p><br> <p><span>NA</span></p><br> <br> <p><strong><span>2</span></strong></p><br> <p><strong><span>Role Purpose</span></strong></p><br> <br> <p><span>Design, architect, and govern enterprise infrastructure platforms that support both traditional and AI-enabled workloads. Lead the development of scalable, secure, resilient, and high-performance cloud and hybrid infrastructure architectures that enable Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), data analytics, and enterprise applications in alignment with DCT's technology strategy, architecture principles, and governance standards.</span></p><br> <p><span>The role focuses on the infrastructure, cloud, platform, networking, security, compute, storage, and operational capabilities required to support AI adoption across the organization, while ensuring reliability, performance, cost optimization, and compliance.</span></p><br> <br> <p><strong><span>3</span></strong></p><br> <p><strong><span>Key Responsibilities</span></strong></p><br> <br> <p><strong><span>Infrastructure Strategy and Architecture</span></strong></p><br> <ul> <li><span>Develop and maintain enterprise infrastructure architectures that support current and future business and technology requirements, including AI and advanced analytics workloads.</span></li> <li><span>Define infrastructure standards, reference architectures, and technology roadmaps covering cloud, hybrid cloud, networking, storage, compute, container platforms, and AI infrastructure capabilities.</span></li> <li><span>Collaborate with Enterprise Architecture, Infrastructure, Security, Data, and Digital teams to ensure infrastructure readiness for AI initiatives.</span></li> <li><span>Evaluate and recommend infrastructure technologies, cloud services, GPU-enabled environments, and platform services that support enterprise AI adoption.</span></li> <li><span>Ensure infrastructure architectures align with security, governance, operational, and regulatory requirements.</span></li> </ul> <p><strong><span>AI Infrastructure Enablement</span></strong></p><br> <ul> <li><span>Design and govern infrastructure platforms supporting AI, Machine Learning, Generative AI, and data-intensive workloads.</span></li> <li><span>Architect GPU-enabled cloud and on-premises infrastructure to support model training, inference, and AI service deployment.</span></li> <li><span>Design scalable environments supporting Azure AI Services, Azure OpenAI, Azure Machine Learning, AI Foundry, and related AI platforms.</span></li> <li><span>Define infrastructure requirements for Retrieval-Augmented Generation (RAG), vector databases, AI assistants, and intelligent automation solutions.</span></li> <li><span>Ensure AI workloads are deployed using enterprise-grade infrastructure, security, networking, and operational standards.</span></li> </ul> <p><strong><span>Cloud and Platform Architecture</span></strong></p><br> <ul> <li><span>Lead the design and implementation of cloud-native AI infrastructure solutions considering scalability, availability, security, performance, and operational efficiency.</span></li> <li><span>Drive adoption of Infrastructure as Code (IaC), automation, containerization, and platform engineering best practices.</span></li> <li><span>Provide technical guidance on Kubernetes, Docker, cloud platforms, and AI infrastructure deployment models.</span></li> <li><span>Support the evolution of DevSecOps practices to enable automated infrastructure provisioning and operational excellence.</span></li> </ul> <p><strong><span>Infrastructure Management</span></strong></p><br> <ul> <li><span>Define infrastructure sizing, resource allocation, performance optimization, and cost management strategies for enterprise and AI workloads.</span></li> <li><span>Collaborate with operational teams to ensure infrastructure reliability, resilience, and service continuity.</span></li> </ul> <p><strong><span>Security, Reliability, and Performance</span></strong></p><br> <ul> <li><span>Design secure infrastructure architectures that support enterprise applications and AI workloads.</span></li> <li><span>Ensure appropriate controls are implemented for identity management, network security, data protection, encryption, and workload isolation.</span></li> <li><span>Define and implement high availability, disaster recovery, backup, and business continuity strategies.</span></li> <li><span>Monitor and assess AI infrastructure performance and identify opportunities for optimization and modernization.</span></li> <li><span>Support FinOps practices and cloud cost optimization initiatives across infrastructure and AI platforms.</span></li> </ul> <p><strong><span>Shared Activity &nbsp;</span></strong></p><br> <ul> <li><span>Ensure effective cascading of the functional strategy into business plans to ensure vertical alignment and horizontal integration with other interfacing sectional strategies. </span></li> <li><span>Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction. </span></li> <li><span>Carry out any other duties and responsibilities related to the role at the request of the direct manager.</span></li> <li><span>Manage and ensure effective implementation of functional policies, procedures and controls covering all areas of assigned section activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service. </span></li> <li><span>Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></li> <li><span>Demonstrate compliance to organization’s values and ethics at all times to support the establishment of a value drive culture within the organization</span></li> <li><span>Contribute to the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.</span></li> </ul> <br> <p><strong><span>4</span></strong></p><br> <p><strong><span>Communication and Business Relationships</span></strong></p><br> <br> <p><strong><span>Internal</span></strong></p><br> <ul> <li><span>Technology Internal Sections</span></li> <li><span>DCT Relevant Sectors / Departments </span></li> </ul> <p><strong><span>External</span></strong></p><br> <ul> <li><span>Key vendors &amp; supplies</span></li> <li><span>Government entities</span></li> <li><span>Service Provider &amp; Consulting firms &nbsp;&nbsp;</span></li> </ul> <br> </div>

Data & AI Specialist (Manager Level)<br>We're looking for a Data & AI Specialist to join one of our clients, supporting PR, communications, and business growth through AI-powered analytics, measurement, and automation. This role sits at the intersection of data science, artificial intelligence, media intelligence, and strategic communications, helping teams turn complex data into actionable insights while driving the responsible adoption of AI across the business.<br>Key Responsibilities Integrate AI into agency workflows and communications processes. Design AI-driven solutions for media analysis, sentiment, audience insights, search visibility, and content performance. Build dashboards, automated workflows, prompts, and lightweight AI tools. Use AI and analytics to support PR measurement, reputation tracking, trend analysis, and strategic decision-making. Partner with strategy, digital, creative, and analytics teams to develop data-driven solutions. Evaluate AI outputs for accuracy, bias, transparency, and effectiveness. Research emerging AI technologies and measurement methodologies. Document processes and ensure insights are clear and trustworthy.<br>Requirements Bachelor's degree in Data Science, Computer Science, Analytics, Statistics, or a related field (or equivalent experience).5+ years' experience in data analytics, AI, machine learning, or business analytics. Strong Python and SQL skills. Experience with Power BI, Tableau, Looker Studio, Excel, or similar BI tools. Hands-on experience with generative AI, large language models, prompt engineering, or NLP. Understanding of PR, media intelligence, social listening, reputation, or digital communications measurement. Ability to translate complex data into clear, actionable business insights.<br>Preferred Experience in PR analytics, media intelligence, communications strategy, or digital marketing analytics. Experience building dashboards, reporting automation, and internal AI tools. Knowledge of AI governance, bias evaluation, and explainable AI. Arabic language skills are an advantage but not required.<br>Ideal Candidate A technically strong, commercially minded professional who enjoys solving business problems with AI and data. You'll be comfortable working across technical and non-technical teams, building practical AI solutions, and helping shape the future of communications through data-driven insight while ensuring human judgement remains at the centre of decision-making.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Job Purpose <br><p>Plan and supervise the maintenance activities of a wide range of instrument and control systems in the plant and coordinate these activities with operations and other maintenance teams to ensure reliable functioning of the instrument and control systems.</p><br><br><br>Job Specific Accountabilities <br><p><strong>Maintenance Planning, Execution and expertise</strong><br>•&nbsp;&nbsp; &nbsp;Provide support to the operations and maintenance teams for equipment testing, troubleshooting, routine equipment surveillance and start-up activities. Liaise with Mechanical and Electrical sections and establish a seamless integration between operation and maintenance teams to ensure compliance to the planned maintenance activities.<br>•&nbsp;&nbsp; &nbsp;Provide technical support in the field for the execution of critical maintenance activities of the equipments to ensure that the problems are resolved with minimum down time.<br>•&nbsp;&nbsp; &nbsp;Evaluate, allocate and arrange the manpower requirements for daily preventive, break down and shutdown maintenance plans.<br>•&nbsp;&nbsp; &nbsp;Assess the workload, backlog and the work plan and coordinate with relevant sections to complete the work plan. Monitor and arrange the resources for the effective compliance to the agreed work plan.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Monitor and control required material, spares, consumables and tools in high quality and quantities to ensure continuous availability.<br>•&nbsp;&nbsp; &nbsp;Conduct and implement root cause analysis of equipment failures and non-scheduled shutdowns and recommend problem resolutions to increase the reliability and availability of equipment<br>•&nbsp;&nbsp; &nbsp;Provide input to prepare and track the forthcoming major maintenance, upgrades and obsolescence issues to integrate with the division’s 5 years’ rolling business plans<br>•&nbsp;&nbsp; &nbsp;Provide technical support for development, implementation and commissioning of new projects in the mechanical design and specifications to optimize costs and ensure compliance with applicable standards and best practices.<br>•&nbsp;&nbsp; &nbsp;Participate in defining the technical requirements, technical bid evaluation and inspection of materials on receipt to ensure specifications and required quality. Monitor the performance of Contractors for the assigned works to ensure quality and standards.<br>&nbsp;</p><br><br><br>Minimum Qualification <br><p>Bachelor Degree in Instrumentation and Control or Electronics discipline or equivalent Professional Qualification</p><br><br><br>Minimum Experience, Knowledge &amp; Skills <br><p>6 years of experience in Instrument and Control engineering and maintenance within a large industrial organization, preferably in the Oil and Gas industry</p><br><br><br>Professional Certifications <br><p>As applicable</p><br><br><br><br><br> </div>