Lead AI Engineer with AWS Bedrock

EPAM Systems Inc

  • Atlanta, GA
  • 30+ days ago

    Highlights

    The role requires strong engineering capability in Python or TypeScript combined with real-world experience implementing GenAI-powered systems in cloud environments. We are seeking a hands-on Lead AI Engineer focused on building and deploying AIOps solutions using AWS Bedrock and agent-based architectures.

    Numbers & Facts

    LocationAtlanta, GA

    Description

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    Lead AI Engineer with AWS Bedrock

    Remote in Georgia, & 4 others

    AI Solution Engineering

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    We are seeking a hands-on Lead AI Engineer focused on building and deploying AIOps solutions using AWS Bedrock and agent-based architectures. The role requires strong engineering capability in Python or TypeScript combined with real-world experience implementing GenAI-powered systems in cloud environments.

    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

    • 5+ years of hands-on engineering experience delivering production-grade solutions (not only prototypes or POCs)

    • At least 1 year of relevant leadership experience

    • Proven expertise in AWS Bedrock (including AgentCore) applied in real projects

    • Proficiency in Python or TypeScript

    • Skills in building and deploying infrastructure using AWS CDK

    • Understanding of DevOps practices, including CI/CD, deployment, and monitoring

    • Background in AIOps or observability platforms

    • Strong communication skills for effective team collaboration

    • Proficiency in English at an Upper-Intermediate level (B2) or higher

    Nice to have

    • Background in Generative AI and LLM-based solutions

    • Experience working in distributed or customer-facing teams

    • Familiarity with the broader AWS ecosystem, such as Lambda, ECS, etc.

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