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Lead AI Engineer

EPAM Systems

Senior 🇬🇧 English
Python Java REST gRPC Kubernetes cloud services CI/CD pipelines deployment automation LLM integration embeddings retrieval strategies agent frameworks AI observability testing frameworks model versioning prompt governance

وصف الوظيفة

About the role

We are seeking a Lead AI Engineer to join our Doha team on‑site. In this role you will shape AI‑driven strategies, architectures and operating models, guiding engineering teams toward spec‑driven and agentic AI delivery while ensuring compliance, security and operational integrity.

Key responsibilities

  • Architect and deploy token‑efficient AI search and retrieval systems optimized for cost, relevance and performance.
  • Advise on AI adoption strategies, including RAG, agents, copilots or traditional engineering approaches.
  • Define and implement spec‑driven development practices with governance and reusable standards.
  • Design KPIs to measure productivity gains, quality improvements and AI adoption maturity.
  • Build end‑to‑end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference.
  • Develop operational strategies for agentic systems, covering rollout governance, versioning and observability.
  • Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift.
  • Drive training, playbooks and mentorship to accelerate workforce readiness in AI‑enabled engineering workflows.
  • Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines.

Required profile

  • Bachelor's degree in Computer Science, Software Engineering or a related field.
  • 4+ years of experience building production AI systems or 2+ years in production‑level LLM/RAG solutions.
  • Proven track record leading AI transformations, strategy design and adoption initiatives.

Required skills

  • Python
  • Java
  • REST and gRPC API protocols
  • Kubernetes
  • Cloud services
  • CI/CD pipelines and deployment automation
  • LLM integration (both provider and self‑hosted models)
  • Embeddings and vector databases
  • Retrieval strategies for RAG architectures
  • Agent frameworks for enterprise workflows
  • AI observability, testing frameworks, model versioning and prompt governance

What we offer

  • Private healthcare and life insurance
  • End‑of‑service gratuity
  • Annual air travel tickets for expatriates
  • Corporate programs including employee referral rewards
  • Learning and development opportunities, in‑house training, coaching and professional certifications

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