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# AI Engineer with AWS Bedrock

- **Company:** EPAM Systems, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, DevOps, Python (Programming Language), TypeScript, AWS Cdk, Cloud Platform System, Large Language Models, Generative AI, Build Management, AI Platforms, Operational Systems
- **Published:** June 23, 2026
- **Apply:** https://www.dice.com/job-detail/9991a98f-2b32-41da-abf0-5c2070871b1a

## About the Role

We are seeking a hands-on Senior AI Engineer to build and deploy AIOps solutions using AWS Bedrock and agent-based architectures. This role combines strong engineering capability in Python and TypeScript with real experience implementing GenAI-powered systems in cloud environments. The ideal candidate is comfortable working full-time in the CET timezone and delivering production-ready AI features. Responsibilities Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architectures Build, deploy and maintain AI services using Python or TypeScript Develop and manage infrastructure using AWS CDK Integrate GenAI capabilities into operational systems including monitoring, automation and incident handling Collaborate with cross-functional teams to deliver production-ready AI features Ensure scalability, reliability and performance of deployed solutions Requirements 3+ years of hands-on experience in Python or TypeScript Proven experience with AWS Bedrock including AgentCore
in real projects Practical experience with AWS CDK for infrastructure-as-code Solid understanding of DevOps practices including CI/CD, deployment and monitoring Proficiency in delivering production-grade solutions rather than prototypes or POCs Background in AIOps or observability platforms Strong communication skills for team collaboration English proficiency at B2 level or higher Nice to have Background in Generative AI or LLM-based solutions Experience working in distributed or customer-facing teams Familiarity with broader AWS ecosystem including Lambda and ECS



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