AI Engineer -
Description
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.
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.
- 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.
- 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.
Claude Code, Codex, GitHub Copilot, Docker, Azure DevOps, Linux, Git,
JSON, YAML, MCPs, and Skills
