Lead AI Engineer
Job Fit Check
Base Career helps you apply smarter for this job.
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 end-to-end AI pipelines, and driving workforce capability uplift.
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
- We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode.
- In this role, you will lead the design and implementation of AI driven strategies, architectures and operating models, enabling engineering teams to transition to spec driven and agentic AI delivery methods.
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
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
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at EPAM Systems
Field Marketing Manager
Dubai, UAE
EPAM Systems seeks a Field Marketing Manager to drive regional marketing strategies in the Middle East. This hybrid role in Dubai involves planning events, executing ABM campaigns, and building sales relationships. Requi
Senior Data Engineer
Abu Dhabi, UAE
EPAM Systems is looking for a Senior Data Engineer to join their team in Abu Dhabi for a large-scale data platform migration. The role involves building production-ready data pipelines on Databricks using PySpark and SQL
Field Marketing Manager
Dubai, UAE
EPAM Systems is seeking a Field Marketing Manager to drive regional marketing strategies in the Middle East. The role involves planning events, executing ABM campaigns, and collaborating with sales to generate leads. Can
Lead AI Engineer
Doha, QAT
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. Requires 4+
Data Technology Consultant
Coimbatore, UAE
EPAM Systems seeks a skilled Data Technology Consultant to lead and design large-scale data-driven solutions. The role involves defining data strategy, overseeing client engagements, and driving data product development.
Director Technology Solutions - Azure Cloud
Coimbatore, UAE
EPAM Systems seeks a Practice Lead for Azure Cloud to serve as the senior technical authority and strategic leader for the Azure practice. The role involves driving technical excellence, people development, delivery gove
Python Development Trainee
Riyadh, KSA
EPAM Systems offers a free, expert-led Python Development training program for Saudi nationals. The 3-month program requires up to 30 hours weekly engagement and is fully remote. Upon completion, participants may be cons
Senior AI Engineer (Python)
Doha, QAT
EPAM Systems is looking for a Senior AI Engineer (Python) to join their team in Doha, Qatar, working onsite. The role involves designing and deploying AI systems, building agentic workflows, and mentoring teams. Candidat
Field Marketing Manager
Dubai, UAE
Senior Data Engineer
Abu Dhabi, UAE
Field Marketing Manager
Dubai, UAE
Lead AI Engineer
Doha, QAT
Data Technology Consultant
Coimbatore, UAE
Director Technology Solutions - Azure Cloud
Coimbatore, UAE
Python Development Trainee
Riyadh, KSA
Senior AI Engineer (Python)
Doha, QAT