Skills

Operational Responsibilities:

• Manage end-to-end delivery of AI products from ideation through production deployment; ensure robust MLOps/LLMOps pipelines for monitoring, retraining, and versioning.
• Define and track KPIs for AI platform adoption, model performance, latency, cost-per-inference, and business impact.
• Coordinate with Information Security, Risk, and Compliance to ensure AI solutions adhere to regulatory requirements, data privacy standards, and the Bank’s AI governance framework.
• Manage the AI platform’s cloud infrastructure, optimize compute costs, and ensure high availability and disaster recovery.
• Prepare and manage the AI engineering budget; justify investments through business-case development and ROI tracking.
• Oversee HR-related functions for the team including hiring, onboarding, performance management, and professional development.

Qualifications & Experience

Required Qualifications:

• Minimum: Bachelor’s degree in a relevant field. Hands-on experience building and deploying LLM-based applications, RAG systems, or AI platforms in production environments. Experience working with Kubernetes and/or OpenShift, along with integrating or developing solutions using Claude Code and OpenAI.

Preferred Experience:

• 10 years of experience in software engineering or AI/ML engineering, with at least 3 years in a leadership role managing AI development or data science teams.
• Demonstrated experience with Claude (Anthropic), Azure OpenAI, AWS Bedrock, or equivalent enterprise AI services.
• Experience in banking or financial services is strongly preferred. Middle East experience is an advantage.
• Track record of translating emerging AI research into production-grade products that deliver measurable business value.