AI Engineer -

Infinitice; Waterford (AL); On-site; USD 120,000 - 160,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Docker security

Azure DevOps

Linux administration

Git

JSON & YAML

Documentation

Tools

Docker

Azure DevOps

Git

JSON

YAML

Linux

Job 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 validatesecurity controls for leading AI-powered coding platforms. This is ahigh-impact opportunity to work across AI, cloud, DevSecOps, and containersecurity while helping the organization adopt innovative development toolssafely and responsibly.

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

High-impactwork: Build thesafeguards that enable responsible adoption of advanced AI development tools.

Moderntechnology: Work atthe intersection of AI, cybersecurity, containers, cloud platforms, andDevSecOps.

Visibleoutcomes: Deliverpractical controls, documentation, and lasting operational capability.

Focusedengagement: Join adefined six-month initiative with clear objectives and deliverables.

Responsibilities:

• Configureand harden security controls for AI-powered coding tools, includingpermissions, execution restrictions, network access, credential protection, andaudit logging.
• Integratesecure configurations with Docker containers and Azure DevOps repositories andpipelines.
• Assessand test controls, troubleshoot technical issues, and clearly document risksand remaining gaps.
• Developpractical support documentation, operating procedures, and reusableconfiguration guidance.
• Leadknowledge transfer and enable County staff to operate and maintain the controlsconfidently.
• Workwith platforms such as Claude Code, GitHub Copilot, and Codex, including MCPs,Skills, and enterprise AI controls.

Requirements

• Senior-levelexperience with Docker configuration and container security.
• Hands-onexpertise with Azure DevOps repositories, permissions, and pipelines.
• StrongLinux administration and scripting skills.
• Proficiencywith Git and configuration management using JSON and YAML.
• Abilityto translate complex security requirements into reliable, version-controlledconfigurations and clear documentation.

Preferred Qualifications:

• SecuringAI development and AI-assisted coding tools.
• Experienceacross Claude Code, GitHub Copilot, Codex, or comparable platforms.
• Familiaritywith MCPs, Skills, and enterprise controls within Claude, GPT, and Copilotecosystems.

Technology

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