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Lead GenAI Engineer
Full-time
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a Lead GenAI Engineer to architect, develop, and manage agentic AI solutions on Amazon Bedrock AgentCore as part of a contact center transformation initiative. The consultant will lead the implementation of multi-agent workflows, craft LLM-driven conversational experiences, and connect these solutions with Amazon Connect.
Responsibilities
Architect and build multi-agent workflows on Amazon Bedrock AgentCore to coordinate complex, automated business operations
Develop agentic AI systems that leverage tool use, memory handling, and orchestration techniques to support autonomous, context-driven agent actions
Craft prompt engineering approaches and context assembly methods tailored for large-scale production environments
Connect agentic AI functionality with Amazon Connect contact center workflows to strengthen customer interaction automation
Build LLM-driven applications powered by Amazon Bedrock foundation models to deliver robust, scalable generative AI features
Construct RAG (Retrieval-Augmented Generation) pipelines and knowledge base connections to keep model outputs accurate and current
Create and launch conversational AI experiences for customer-facing platforms, ensuring smooth and intuitive interactions
Establish guardrails, safety mechanisms, and compliance protocols to support responsible and secure AI usage
Roll out solutions through AWS serverless offerings, such as Lambda, Step Functions, and API Gateway, to construct efficient and scalable architectures
Develop evaluation frameworks to consistently monitor model and prompt performance and confirm readiness for deployment
Set up observability tools and fine-tune solutions for optimal cost and latency in live environments
Partner with customer stakeholders to collect requirements, incorporate feedback, and refine solutions across the project timeline
Requirements
At least 5 years of relevant experience in AI/ML engineering positions
A minimum of one year of experience leading and overseeing teams
Practical experience with Amazon Bedrock for creating and launching generative AI applications
Demonstrated background in generative AI/LLM application development, covering prompt design, foundation model integration, and building production-ready AI features
Track record of constructing agentic and multi-agent workflows that support autonomous task completion, tool integration, and coordination across multiple AI agents
Advanced Python skills for building ML/AI applications, encompassing data handling, model integration, and API creation
Strong grasp of AWS serverless architecture, including tools like Lambda, Step Functions, and API Gateway, for developing scalable and dependable cloud-based solutions
Strong English communication abilities (B2 level or above)
Nice to have
Background in Amazon Connect integration for developing and improving contact center automation and customer service processes
Exposure to Bedrock AgentCore for building and overseeing sophisticated multi-agent orchestration and agentic AI systems
Understanding of MLOps/LLMOps methodologies for handling the complete ML/AI model lifecycle, from deployment and monitoring to versioning and ongoing enhancement in live settings
We offer
International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
