• What You'll Build

  • You will lead the creation of our AI Platform, the orchestration layer that powers:

  • Agentic AI and AI-powered business automation

  • Enterprise workflow orchestration

  • API-first and event-driven architecture

  • MLOps and LLMOps platforms

  • Large-scale experimentation and optimization

  • AI-enabled customer and employee experiences

  • Intelligent business processes across sales, aftersales, mobility, leasing, and corporate functions

  • Your work will influence how technology, data, and AI create value across one of the most diverse automotive businesses in the region.

  Your Mission

  You will build and operate a unified AI Platform that becomes the intelligent operating layer across the organization.

  Working closely with technology, customer experience, product, data, and business teams, you will:

  • Embed AI into critical customer and operational journeys

  • Build reusable AI and automation capabilities that scale across brands and functions

  • Turn machine learning models into enterprise-grade services

  • Enable experimentation as a core business capability

  • Establish a modern platform foundation for future AI innovation

  • Create measurable business value through automation, orchestration, and intelligent decision-making

  This role sits at the intersection of technology strategy, architecture, engineering excellence, and business transformation.

  What Makes This Opportunity Unique

  This is more than a leadership role. It is an opportunity to architect and build a transformative capability at enterprise scale.

  As Head of AI Platforms, you will:

  • Lead the development of a strategic AI Platform serving different automotive brands

  • Shape how AI, automation, and experimentation are embedded into core business operations

  • Build reusable capabilities that enable innovation across customer, commercial, and operational journeys

  • Influence technology strategy while remaining close to the engineering and platform decisions that drive execution

  • Work at the intersection of AI, platform engineering, customer experience, data, and digital transformation

  • Create measurable business impact through intelligent automation, orchestration, and AI-powered decision-making

  If you're motivated by building platforms that solve complex business problems, scaling innovation beyond pilots, and creating lasting enterprise value, this role offers an opportunity to leave a significant mark on one of the industry's most ambitious transformation journeys.

Desired Candidate Profile

• What Equips You for the Role

  Education & Qualifications

  • You hold a Bachelor's or master’s degree in computer science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline. Professional certifications in cloud architecture, enterprise architecture, AI, platform engineering, or related technology domains are highly regarded.

  • You bring a strong foundation in modern technology ecosystems, including distributed systems, enterprise integration, software architecture, AI platforms, experimentation frameworks, and intelligent automation.

  Experience

  • You have 12+ years of experience in software engineering, platform engineering, enterprise architecture, systems integration, or technology leadership roles, including at least 5 years leading engineering, architecture, platform, or AI teams.

  • You have a proven track record of building and scaling enterprise-grade platforms that support mission-critical business operations and delivering complex transformation initiatives at scale. Your experience includes deploying AI, Machine Learning, Generative AI, Agentic AI, or intelligent automation solutions into production environments and translating technology investments into measurable business outcomes.

  • Experience within automotive, retail, telecommunications, logistics, financial services, or other complex multi-brand organizations will be highly advantageous.

  Technical Expertise

  You bring deep expertise across several of the following areas:

  • Agentic AI, Generative AI, and Large Language Model (LLM) applications

  • AI Platforms, MLOps, and LLMOps

  • Workflow orchestration and intelligent business process automation

  • API-first and event-driven architectures

  • Enterprise integration and modernization

  • Cloud-native platforms and modern engineering practices

  • Experimentation, optimization, and data-driven product development

  • Platform reliability, security, governance, and scalability

  • Modern software engineering and architecture