Senior GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones. You must be comfortable to travel to the client site for workshops/meetings.

• Senior GenAI DevOps Engineer /AI Engineer who has 10-15+ years overall experience and 6-8 years building AI agents and deploying them into production on AWS.

The role combines AI agent development (60%) and DevOps/CI/CD engineering (40%). This is a suggested split based on the responsibilities you've described. Job Description – AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions) Experience: 10-15+ years overall, including hands-on GenAI or agentic AI development. Key responsibilities

• Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
• Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
• Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
• Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments.
• Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security.
• Monitor, troubleshoot, and optimize production AI agent performance.
• Implement secure authentication, logging, monitoring, and observability.

Skills to look for Skill Priority What to verify Claude Agent SDK Must-have Hands-on agent development, not just Claude prompting Amazon Bedrock AgentCore Runtime Must-have Actual agent deployment and runtime configuration GitHub Actions Must-have Building CI/CD pipelines independently Python or TypeScript Must-have Strong coding and API integration AWS Bedrock Must-have Model integration and AWS ecosystem knowledge Docker, AWS ECR, IAM Strongly preferred Packaging, deployment, permissions MCP and tool calling Strongly preferred Building agents that execute external tools Terraform / AWS CDK Good-to-have Infrastructure as Code CloudWatch, security, monitoring Good-to-have Production support Remote Skills: Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Cloud Computing, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, DevOps, Docker, Ecosystems, GitHub, Identify Issues, MCP - Microsoft Certified Professional, Production Support, Python Programming/Scripting Language, Testing, Willing to Travel Simple Solutions Apply To This Job