Senior GenAI Engineer

We are looking for a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation initiative. The consultant will implement multi-agent workflows, develop LLM-powered conversational experiences, and integrate with Amazon Connect.

Responsibilities

• Design and implement multi-agent workflows on Amazon Bedrock AgentCore to orchestrate complex, automated business processes
• Build agentic AI solutions incorporating tool use, memory management, and orchestration patterns to enable autonomous, context-aware agent behavior
• Develop prompt engineering strategies and context assembly techniques optimized for production-grade workloads
• Integrate agentic AI capabilities with Amazon Connect contact center flows to enhance customer interaction automation
• Implement LLM-powered applications leveraging Amazon Bedrock foundation models to deliver scalable generative AI capabilities
• Build RAG (Retrieval-Augmented Generation) pipelines and knowledge base integrations to ground model outputs in accurate, up-to-date information
• Design and deploy conversational AI experiences for customer-facing channels, ensuring natural and effective user interactions
• Implement guardrails, safety controls, and compliance measures to ensure responsible and secure AI deployment
• Deploy solutions using AWS serverless services, including Lambda, Step Functions, and API Gateway, to build scalable and cost-efficient architectures
• Build evaluation pipelines to continuously assess model and prompt quality and ensure production readiness
• Instrument observability tooling and optimize solutions for cost and latency in production environments
• Collaborate with customer stakeholders to gather requirements, gather feedback, and iterate on solutions throughout the project lifecycle

Requirements

• A minimum of 3 years of relevant experience in AI/ML engineering roles
• Hands-on experience with Amazon Bedrock for building and deploying generative AI applications
• Proven experience in generative AI/LLM application development, including designing prompts, integrating foundation models, and building production-grade AI-powered features
• Experience building agentic and multi-agent workflows, enabling autonomous task execution, tool integration, and orchestration between multiple AI agents
• Strong proficiency in Python for developing ML/AI applications, including data processing, model integration, and API development
• Solid understanding of AWS serverless architecture, including services such as Lambda, Step Functions, and API Gateway, for building scalable and resilient cloud-native solutions
• Excellent English communication skills (B2 level or higher)

Nice to have

• Experience with Amazon Connect integration for building and enhancing contact center automation and customer service workflows
• Familiarity with Bedrock AgentCore for developing and managing advanced multi-agent orchestration and agentic AI solutions
• Knowledge of MLOps/LLMOps practices for managing the full lifecycle of ML/AI models, including deployment, monitoring, versioning, and continuous improvement in production environments

Benefits

• 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