Lead AI Engineer
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Key skills for this role
About the Role
EPAM Systems seeks a Lead AI Engineer to design and implement AI-driven strategies and architectures in Doha, Qatar. The role involves leading AI adoption, building production AI systems, and mentoring teams.
Key Skills for This Role
Responsibilities
- Architect and deploy token efficient AI search and retrieval systems optimized for cost, relevance and performance
- Advise on AI adoption strategies, including when to apply 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, including 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
Requirements
- Bachelor's degree in Computer Science, Software Engineering or 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
- Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies
- Strong proficiency with Python, familiarity with Java and API protocols (REST/gRPC)
- Experience with agent frameworks and implementing agentic workflows in enterprise software delivery
- Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation
- Hands on experience in integrating LLM providers and self hosted models into scalable architectures
- Knowledge of AI observability, testing frameworks, model versioning and prompt governance
Full Job Posting
Overview
- Lead AI Engineer role in Doha, Qatar, onsite working mode.
- Lead design and implementation of AI driven strategies, architectures and operating models.
- Enable engineering teams to transition to spec driven and agentic AI delivery methods.
Responsibilities
- Architect and deploy token efficient AI search and retrieval systems.
- Advise on AI adoption strategies including RAG, agents, copilots or traditional engineering.
- Define and implement spec driven development practices with governance.
- Design KPIs to measure productivity gains and AI adoption maturity.
- Build end to end AI pipelines including embeddings, vector stores, LLM integrations.
- Develop operational strategies for agentic systems including rollout governance and observability.
- Partner with product owners and engineering leads to define AI adoption roadmaps.
- Drive training, playbooks and mentorship for workforce readiness.
- Implement responsible AI practices ensuring compliance with security and ethical guidelines.
Requirements
- Bachelor's degree in Computer Science, Software Engineering or related field.
- 4+ years building production AI systems or 2+ years in production level LLM/RAG solutions.
- Proven track record leading AI transformations and strategy design.
- Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies.
- Strong proficiency with Python, familiarity with Java and API protocols (REST/gRPC).
- Experience with agent frameworks and implementing agentic workflows.
- Practical knowledge of Kubernetes, cloud services, CI/CD pipelines.
- Hands on experience integrating LLM providers and self hosted models.
- Knowledge of AI observability, testing frameworks, model versioning and prompt governance.
We offer
- Private healthcare and life insurance.
- End of service gratuity.
- Annual air travel tickets for expatriates.
- Corporate Programs including Employee Referral Program with rewards.
- Learning and development opportunities including in house training and coaching, professional certifications, and courses.
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