Enterprise AI Delivery Lead | Gen AI & Agent Architect

Halian | Managed Services, Recruitment and Contract Staffing Agency

Abu Dhabi

On-site

AED 900,000 - 1,300,000

Full time

3 days ago

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Job summary

Halian Group in Abu Dhabi is seeking an experienced AI Engineering Lead to drive enterprise AI transformation for a leading banking institution. You will oversee multiple AI delivery pods, define technical strategy, govern engineering standards, and ensure production deployment of AI solutions across corporate banking, lending, onboarding, and intelligent automation.

The ideal candidate has 15+ years of software engineering, 8+ years leading AI or data‑driven teams, and hands‑on experience with

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.
Develop scalable AI workflows using modern orchestration frameworks.
Build intelligent agent ecosystems leveraging structured outputs and orchestration patterns.
Act as the technical authority for code reviews, release governance, and engineering quality.
Implement AI evaluation, regression testing, and release readiness frameworks.
Drive AI‑assisted engineering and agent‑augmented delivery practices.
Embed security, privacy, compliance, and responsible AI controls into delivery processes.
Ensure AI systems comply with enterprise governance and regulatory requirements.
Establish AI monitoring, auditability, and operational controls.
Mentor AI Engineers and senior technical contributors.
Engage business stakeholders, architects, and technology leadership teams.
Drive continuous improvement across engineering functions and delivery practices.