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Senior GenAI Engineer
Full-time
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
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
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
