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
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Architect and build multi-agent workflows on Amazon Bedrock AgentCore to coordinate complex, automated business operations
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Develop agentic AI systems that leverage tool use, memory handling, and orchestration techniques to support autonomous, context-driven agent actions
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Craft prompt engineering approaches and context assembly methods tailored for large-scale production environments
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Connect agentic AI functionality with Amazon Connect contact center workflows to strengthen customer interaction automation
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Build LLM-driven applications powered by Amazon Bedrock foundation models to deliver robust, scalable generative AI features
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Construct RAG (Retrieval-Augmented Generation) pipelines and knowledge base connections to keep model outputs accurate and current
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Create and launch conversational AI experiences for customer-facing platforms, ensuring smooth and intuitive interactions
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Establish guardrails, safety mechanisms, and compliance protocols to support responsible and secure AI usage
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Roll out solutions through AWS serverless offerings, such as Lambda, Step Functions, and API Gateway, to construct efficient and scalable architectures
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Develop evaluation frameworks to consistently monitor model and prompt performance and confirm readiness for deployment
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Set up observability tools and fine-tune solutions for optimal cost and latency in live environments
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Partner with customer stakeholders to collect requirements, incorporate feedback, and refine solutions across the project timeline
Requirements
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At least 5 years of relevant experience in AI/ML engineering positions
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A minimum of one year of experience leading and overseeing teams
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Practical experience with Amazon Bedrock for creating and launching generative AI applications
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Demonstrated background in generative AI/LLM application development, covering prompt design, foundation model integration, and building production-ready AI features
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Track record of constructing agentic and multi-agent workflows that support autonomous task completion, tool integration, and coordination across multiple AI agents
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Advanced Python skills for building ML/AI applications, encompassing data handling, model integration, and API creation
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Strong grasp of AWS serverless architecture, including tools like Lambda, Step Functions, and API Gateway, for developing scalable and dependable cloud-based solutions
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Strong English communication abilities (B2 level or above)
Nice to have
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Background in Amazon Connect integration for developing and improving contact center automation and customer service processes
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Exposure to Bedrock AgentCore for building and overseeing sophisticated multi-agent orchestration and agentic AI systems
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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
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
