Senior AI Security Engineer — 6-Month High-Impact Project

Infinitice; Waterford (AL); Vor Ort; USD 120.000 - 160.000; Vollzeit

Zusammenfassung

Infinitice is seeking a Senior AI Security Engineer for a 6-month, on-site engagement in Waterford, MI. You will design, implement, and validate security controls for AI-powered coding tools, collaborating across AI, cloud, DevSecOps, and container security to safely adopt innovative development tools.

Responsibilities include hardening controls for AI tools, integrating with Docker and Azure DevOps, documenting risks, and enabling operational capability.

Qualifikationen

• 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.

Aufgaben

• Configure and harden security controls for AI-powered coding tools, including permissions, execution restrictions, network access, credential protection, and audit logging.
• Integrates 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.

Kenntnisse

Docker security

Azure DevOps

Linux administration

Git

JSON & YAML

Documentation

Tools

Docker

Azure DevOps

Git

JSON

YAML

Linux

Jobbeschreibung

Infinitice is seeking a Senior AI Security Engineer for a 6-month, on-site engagement in Waterford, MI. You will design, implement, and validate security controls for AI-powered coding tools, collaborating across AI, cloud, DevSecOps, and container security to safely adopt innovative development tools.

Responsibilities include hardening controls for AI tools, integrating with Docker and Azure DevOps, documenting risks, and enabling operational capability.