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.
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 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) 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

📌 Lead Genai Engineer (México)
🏢 Epam Systems
📍 México