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Description

Job Title: AI Engineer
Location: Waterford, MI (on-site)

Our client is seeking a Senior AI Security Engineer for a 6 month project to design, implement, and validate security controls for leading AI-powered coding platforms. This is a high-impact opportunity to work across AI, cloud, DevSecOps, and container security while helping the organization adopt innovative development tools safely and responsibly.


You will have the opportunity to shape the organization's future with below.

High-impact work: Build the safeguards that enable responsible adoption of advanced AI development tools.

Modern technology: Work at the intersection of AI, cybersecurity, containers, cloud platforms, and DevSecOps.

Visible outcomes: Deliver practical controls, documentation, and lasting operational capability.

Focused engagement: Join a defined six-month initiative with clear objectives and deliverables.


Responsibilities:
  • Configure and harden security controls for AI-powered coding tools, including permissions, execution restrictions, network access, credential protection, and audit logging.
  • Integrate secure configurations with Docker containers and Azure DevOps repositories and pipelines.
  • Assess and test controls, troubleshoot technical issues, and clearly document risks and remaining gaps.
  • Develop practical support documentation, operating procedures, and reusable configuration guidance.
  • Lead knowledge transfer and enable County staff to operate and maintain the controls confidently.
  • Work with platforms such as Claude Code, GitHub Copilot, and Codex, including MCPs, Skills, and enterprise AI controls.


Requirements

  • Senior-level experience with Docker configuration and container security.
  • Hands-on expertise with Azure DevOps repositories, permissions, and pipelines.
  • Strong Linux administration and scripting skills.
  • Proficiency with Git and configuration management using JSON and YAML.
  • Ability to translate complex security requirements into reliable, version-controlled configurations and clear documentation.
Preferred Qualifications:
  • Securing AI development and AI-assisted coding tools.
  • Experience across Claude Code, GitHub Copilot, Codex, or comparable platforms.
  • Familiarity with MCPs, Skills, and enterprise controls within Claude, GPT, and Copilot ecosystems.
Technology

Claude Code, Codex, GitHub Copilot, Docker, Azure DevOps, Linux, Git, JSON, YAML, MCPs, and Skills



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