Senior GenAI Engineer

Description

Summary: Seeking a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for contact center transformation, focusing on multi-agent workflows and LLM-powered conversational experiences. Highlights: 1. Design and implement multi-agent workflows on Amazon Bedrock AgentCore 2. Build agentic AI solutions with tool use, memory management, and orchestration 3. Develop LLM-powered applications leveraging Amazon Bedrock foundation models 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