Engineering Manager

Insignia Search; Abu Dhabi; On-site; AED 502,000 - 781,000; 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. You will drive technical roadmaps, mentor engineers, and ensure secure, scalable AI systems in a complex government transformation programme.

The role requires hands-on expertise with Python, APIs, cloud-native tech, LLMs, MLOps, and modern deployment practices while engaging with senior stakeholders and governing bodies.

Qualifications

• Strong background in AI engineering, machine learning engineering, software engineering, computer science, electrical engineering, or a related technical discipline.

Responsibilities

• Lead the design, build, and deployment of production AI platforms and solutions.
• Mentor and manage engineers, set engineering standards, and review implementations.
• Deliver secure, scalable AI systems within a government transformation programme or regulated environment.

Skills

AI engineering

machine learning engineering

software engineering

computer science

electrical engineering

production AI/ML/GenAI systems

leadership

stakeholder communication

Tools

Python

APIs

Backend engineering

Cloud-native systems

LLMs

RAG

embeddings

prompt engineering

MLOps

LLMOps

model deployment

monitoring

guardrails

Docker

Kubernetes

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,