Senior Engineering Manager

Insignia Search; Abu Dhabi Emirate; On-site; AED 600,000 - 1,000,000; Full time

Job summary

Insignia Search is seeking an AI Engineering Manager in Abu Dhabi to lead the design, build, and deployment of production-grade AI platforms within a major government transformation program.

The role requires technical leadership, hands-on expertise with Python, APIs, cloud-native systems, and modern ML tooling, as well as the ability to shape roadmaps and ensure security, governance, and risk controls while engaging senior stakeholders.

Job description

Our client, a major Abu Dhabi government entity, is searching for an AI Engineering Manager to help lead the design, build, and deployment of production-grade AI platforms and solutions.

This is a hands-on technical leadership role for someone who combines strong AI engineering depth with the ability to lead engineers, shape technical roadmaps, and deliver secure, scalable AI systems in a complex enterprise environment.

This role would suit someone who has built real AI systems, led technical teams or squads, and is now ready to take ownership of AI engineering delivery within a major government transformation programme.

Candidate requirements:

• Strong background in AI engineering, machine learning engineering, software engineering, computer science, electrical engineering, or a related technical discipline.
• Proven experience building and deploying production AI / ML / GenAI systems, not just PoCs or strategy documents.
• Ability to lead or mentor engineers, manage technical delivery, set engineering standards, and review implementation quality.
• Experience working in enterprise, government, banking, defence, sovereign AI, or other regulated environments would be highly relevant.
• Strong understanding of responsible AI, privacy, security, governance, auditability, and AI risk controls.
• Comfortable engaging with senior stakeholders while remaining technically credible with engineering teams.
• Hands on experience with Python, APIs, backend engineering, cloud-native systems; LLMs, RAG, embeddings, prompt/context engineering; MLOps / LLMOps, model deployment, monitoring, evaluation, guardrails; Docker, Kubernetes,