Manager, AI Engineering
- Dubai
- Permanent
- Full-time
- Lead, mentor, and develop a team of AI engineers; build a high-performing unit with deep expertise in AI/ML engineering, LLM integration, and platform development.
- Foster a culture of experimentation, responsible AI, and knowledge sharing; organize internal demos, hackathons, and learning sessions.
- Collaborate with the Director, IT Architecture & Engineering to align AI platform architecture with the enterprise technology roadmap.
- Act as the Bank’s subject-matter expert on AI/GenAI trends; advise senior leadership on strategic opportunities, risks, and investment priorities.
- Own the vision, roadmap, and delivery of the Bank’s internal AI platform – supporting capabilities including agentic AI workflows, RAG pipelines, conversational AI (chatbots/copilots), prompt management, and model orchestration.
- Continuously scan the AI/GenAI landscape for breakthrough technologies, frameworks, and models (e.g., Claude, GPT, open-source LLMs); evaluate applicability and lead proof-of-concept initiatives.
- Define and enforce AI development standards covering model lifecycle management, prompt engineering, evaluation frameworks, guardrails, and responsible AI principles.
- Establish integration patterns between the AI platform and the Bank’s core banking systems, data lake, and API ecosystem.
- Drive the adoption of vector databases, embedding pipelines, and semantic search to power knowledge retrieval across the organization.
- Develop vendor and partnership strategies for AI tooling (Anthropic Claude, Azure OpenAI, AWS Bedrock, LangChain, LlamaIndex, etc.) to balance innovation with cost and risk.
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