Senior GenAI Engineer

EPAM Systems, Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

EPAM Systems, Inc. is seeking a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions for a contact center transformation.

You will implement multi-agent workflows on Amazon Bedrock AgentCore, orchestrating autonomous tasks and integrating with Amazon Connect for customer interactions. You will develop prompt strategies, ground outputs with RAG pipelines, and deploy with AWS serverless services (Lambda, Step Functions, API Gateway).

Qualifications

• 3+ years of AI/ML engineering experience.
• Hands-on with Amazon Bedrock for building generative AI apps.
• Experience in designing prompts and integrating foundation models.
• Experience building agentic and multi-agent workflows with orchestration.

Responsibilities

• Design multi-agent workflows on Bedrock AgentCore for orchestration of complex processes.
• Develop agentic AI solutions with tool use, memory management, and autonomy.
• Advance prompt strategies and context assembly for production workloads.
• Integrate agentic AI with Amazon Connect to automate customer interactions.
• Build LL M-powered applications leveraging Bedrock foundation models.
• Create and deploy RAG pipelines grounded in up-to-date info.
• Develop conversational experiences for customer channels with natural interactions.
• Implement guardrails, safety controls, and compliance measures.

Skills

AI/ML engineering

GenAI / LLM development

Prompt engineering

Multi-agent workflows design

Python programming

English proficiency (B2+)

Tools

Amazon Bedrock

Bedrock AgentCore

Amazon Connect

AWS Lambda

AWS Step Functions

API Gateway

RAG pipelines

Job description

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.ResponsibilitiesDesign and implement multi-agent workflows on Amazon Bedrock AgentCore to orchestrate complex, automated business processesBuild agentic AI solutions incorporating tool use, memory management, and orchestration patterns to enable autonomous, context-aware agent behaviorDevelop prompt engineering strategies and context assembly techniques optimized for production-grade workloadsIntegrate agentic AI capabilities with Amazon Connect contact center flows to enhance customer interaction automationImplement LLM-powered applications leveraging Amazon Bedrock foundation models to deliver scalable generative AI capabilitiesBuild RAG (Retrieval-Augmented Generation) pipelines and knowledge base integrations to ground model outputs in accurate, up-to-date informationDesign and deploy conversational AI experiences for customer-facing channels, ensuring natural and effective user interactionsImplement guardrails, safety controls, and compliance measures to ensure responsible and secure AI deploymentDeploy solutions using AWS serverless services, including Lambda, Step Functions, and API Gateway, to build scalable and cost-efficient architecturesBuild evaluation pipelines to continuously assess model and prompt quality and ensure production readinessInstrument observability tooling and optimize solutions for cost and latency in production environmentsCollaborate with customer stakeholders to gather requirements, gather feedback, and iterate on solutions throughout the project lifecycleRequirementsA minimum of 3 years of relevant experience in AI/ML engineering rolesHands-on experience with Amazon Bedrock for building and deploying generative AI applicationsProven experience in generative AI/LLM application development, including designing prompts, integrating foundation models, and building production-grade AI-powered featuresExperience building agentic and multi-agent workflows, enabling autonomous task execution, tool integration, and orchestration between multiple AI agentsStrong proficiency in Python for developing ML/AI applications, including data processing, model integration, and API developmentSolid understanding of AWS serverless architecture, including services such as Lambda, Step Functions, and API Gateway, for building scalable and resilient cloud-native solutionsExcellent English communication skills (B2 level or higher)Nice to haveExperience with Amazon Connect integration for building and enhancing contact center automation and customer service workflowsFamiliarity with Bedrock AgentCore for developing and managing advanced multi-agent orchestration and agentic AI solutionsKnowledge of MLOps/LLMOps practices for managing the full lifecycle of ML/AI models, including deployment, monitoring, versioning, and continuous improvement in production environmentsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn