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
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Design and implement multi-agent workflows on Amazon Bedrock AgentCore to orchestrate complex, automated business processes
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Build agentic AI solutions incorporating tool use, memory management, and orchestration patterns to enable autonomous, context-aware agent behavior
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Develop prompt engineering strategies and context assembly techniques optimized for production-grade workloads
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Integrate agentic AI capabilities with Amazon Connect contact center flows to enhance customer interaction automation
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Implement LLM-powered applications leveraging Amazon Bedrock foundation models to deliver scalable generative AI capabilities
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Build RAG (Retrieval-Augmented Generation) pipelines and knowledge base integrations to ground model outputs in accurate, up-to-date information
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Design and deploy conversational AI experiences for customer-facing channels, ensuring natural and effective user interactions
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Implement guardrails, safety controls, and compliance measures to ensure responsible and secure AI deployment
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Deploy solutions using AWS serverless services, including Lambda, Step Functions, and API Gateway, to build scalable and cost-efficient architectures
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Build evaluation pipelines to continuously assess model and prompt quality and ensure production readiness
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Instrument observability tooling and optimize solutions for cost and latency in production environments
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Collaborate with customer stakeholders to gather requirements, gather feedback, and iterate on solutions throughout the project lifecycle
Requirements
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A minimum of 3 years of relevant experience in AI/ML engineering roles
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Hands-on experience with Amazon Bedrock for building and deploying generative AI applications
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Proven experience in generative AI/LLM application development, including designing prompts, integrating foundation models, and building production-grade AI-powered features
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Experience building agentic and multi-agent workflows, enabling autonomous task execution, tool integration, and orchestration between multiple AI agents
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Strong proficiency in Python for developing ML/AI applications, including data processing, model integration, and API development
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Solid understanding of AWS serverless architecture, including services such as Lambda, Step Functions, and API Gateway, for building scalable and resilient cloud-native solutions
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Excellent English communication skills (B2 level or higher)
Nice to have
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Experience with Amazon Connect integration for building and enhancing contact center automation and customer service workflows
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Familiarity with Bedrock AgentCore for developing and managing advanced multi-agent orchestration and agentic AI solutions
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Knowledge of MLOps/LLMOps practices for managing the full lifecycle of ML/AI models, including deployment, monitoring, versioning, and continuous improvement in production environments
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
