Senior AI Engineer

About the role

We are seeking an experienced and pragmatic Senior AI Engineer to lead the end‑to‑end delivery of high‑impact AI solutions. The role bridges technical engineering with strategic project execution, vendor management, and business alignment.

Key responsibilities

• Design, build, and scale end‑to‑end LLM applications, RAG pipelines, multi‑agent workflows, and machine‑learning models from prototype to production.
• Oversee AI project lifecycles (scope, milestones, budget, risks) and lead vendor evaluations, technical proofs of concept, and performance accountability.
• Establish robust data pipelines, CI/CD frameworks, automated hallucination/latency testing, cost tracking, and production monitoring.
• Enforce organizational AI governance, access controls, human‑in‑the‑loop validation, and comprehensive audit trails.
• Define engineering standards, mentor junior team members, and provide strategic recommendations on emerging models and platforms.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics or related field with 6+ years of software, data or ML engineering experience (including 2+ years in LLM production deployment).
• Prior experience in regulated sectors such as financial services, pensions, insurance or government is preferred.
• Bilingual fluency in English and Arabic is advantageous.

Required skills

• Microsoft AI ecosystem: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Power Automate.
• Production‑grade Python, SQL, REST APIs, prompt engineering, Retrieval‑Augmented Generation (RAG), agentic frameworks (Semantic Kernel, Microsoft Agent Framework).
• DevOps toolchains: GitHub, Azure DevOps, Docker, CI/CD pipelines.