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
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Lead GenAI Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina