Overview

We are looking for a DevOps Engineer with experience in CI/CD for containerized AI agents or ML models. In this role, you will work on delivery automation, registry integration, image versioning, and security scanning for agent workflows.
Project Overview:
The AI Agent Platform helps teams package, scan, version, and promote containerized agents in a consistent way. It includes automated workflows for agent builds, registry integration, traceability, and release governance.

Responsibilities:
  • Build ARM64 agent containers in CI/CD pipelines
  • Run security scans for agent images and workflows
  • Push agent images to AWS ECR with semantic versioning tags and git SHA tags
  • Trigger AgentCore Runtime version creation through automated workflows
  • Integrate agent version auto registration with metadata including git SHA, evaluation status, and promotion status
  • Implement GitHub Actions workflows for matrix builds
  • Support agent specific security scans for prompt injection and PII leakage
  • Maintain agent version metadata schema including version ID, container digest, timestamp, evaluation results, and tool or policy bindings
Required Qualifications:
  • 3+ years of DevOps or platform engineering experience with AI or ML pipelines
  • Experience with CI/CD pipeline implementation for containerized AI agents or ML models
  • Experience with container registry management and tagging strategies
  • Experience with security scanning in CI/CD including vulnerabilities, secrets, and compliance
Nice To Have:
  • Experience with AWS AgentCore Runtime endpoint management API
  • Experience with agent evaluation gate integration to block promotion if evaluation fails
  • Experience with GitOps promotion patterns for agents
  • Experience with LangChain or LangGraph agent packaging and deployment
Note:

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