Senior AI Engineering Lead — Enterprise Delivery

Halian

Abu Dhabi

On-site

AED 400,000 - 660,000

Full time

7 days ago

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Job summary

Halian seeks an AI Engineering Lead to drive enterprise AI transformation within a leading banking institution. You will oversee multiple AI pods, shape technical strategy, governance, and robust delivery of AI-powered solutions across banking, lending, onboarding, and automation domains.

Ideal candidates combine 15+ years of software engineering with 8+ years in AI delivery leadership, hands-on expertise in agent architectures, generative AI, and platform engineering, plus strong cloud and

Qualifications

15+ years of software engineering experience.
8+ years leading engineering teams delivering AI, ML, or data-driven solutions.
Minimum 3 years building production-grade Generative AI and Agentic AI applications.
Strong expertise in AI Engineering Leadership, Agent Architecture, Generative AI, AI Platform Engineering, Enterprise AI Delivery, AI Governance.
Hands-on experience with LangGraph, Semantic Kernel, OpenAI Agent Frameworks, Microsoft Agent Framework, MCP & A2A Protocols.
Advanced proficiency in Python, FastAPI, TypeScript, Java.
Strong knowledge of Azure OpenAI, GraphRAG, Hybrid Search, Document AI, Intelligent Automation.
Experience with Kubernetes, Terraform, Docker, GitHub Actions, DevSecOps Pipelines.
Expertise in AI Evaluation Frameworks, AI Red Teaming, Responsible AI, AI Risk Management.

Responsibilities

Lead AI engineering teams delivering enterprise AI solutions.
Define technical roadmaps, release plans, and delivery strategies.
Manage multiple AI delivery pods and cross-functional engineering teams.
Drive adoption of AI engineering best practices and standards.
Define architecture patterns for AI agents, workflows, integrations, and enterprise AI services.
Review and approve technical designs and architecture decisions.
Ensure alignment with enterprise architecture standards and governance requirements.
Design and implement advanced agentic AI architectures and scalable workflows.
Act as technical authority for code reviews, release governance, and engineering quality.
Embed security, privacy, compliance, and responsible AI controls into delivery processes.
Mentor AI Engineers and engage business stakeholders and leadership.