AI Specialist Consultant

Relapath; Pontiac (MI); On-site; USD 96,000 - 152,000; Full time

Job summary

Relapath is seeking an experienced AI Specialist/Senior Information Security Engineer for a full-time six-month consulting assignment in Pontiac, MI. The role focuses on securing AI-assisted development tools and integrating security configurations with containers, CI/CD pipelines, and Azure DevOps repositories.

The ideal candidate has hands-on experience with container security, Linux administration, and configuration management, and can test, document, and transfer operational knowledge to

Qualifications

• Senior-level hands-on information security engineering or DevSecOps experience.
• Experience configuring security controls for AI-assisted development tools.
• Hands-on Docker configuration and container security expertise.
• Proficient Linux administration and scripting.
• Experience with Git, JSON and YAML for configuration management and version control.
• Ability to test configurations, troubleshoot issues, and document findings.
• Strong analytical, problem-solving, and technical documentation skills.

Responsibilities

• Configure and implement security controls for AI-assisted coding tools and development environments.
• Establish and manage permissions, execution restrictions, network access controls, credential protection, and security logging.
• Integrate security configurations with Docker containers and Azure DevOps repositories and pipelines.
• Configure and validate container security settings to support controlled execution of AI development tools.
• Implement access restrictions and credential protection within development workflows.
• Support secure configuration and use of AI development platforms (Claude Code, Copilot, Codex).
• Evaluate security considerations for MCP integrations and enterprise controls.
• Test security configurations to identify gaps and troubleshoot issues.
• Maintain version-controlled security configurations using Git and configuration files.
• Develop technical documentation, test results, and operating procedures.
• Collaborate with development, infrastructure, and information security teams; hand off to internal staff.

Skills

Docker security

Azure DevOps

Linux administration

Configuration management

Git / JSON / YAML

DevSecOps

Security testing

Documentation

Tools

Docker

Azure DevOps

Git

Job description

Job Description

Relapath is currently seeking an experienced AI Specialist/ Senior Information Security Engineer for a full-time, six-month consulting assignment as a Relapath employee supporting our client in Pontiac, MI.

Position Overview

The AI Specialist will be responsible for configuring, implementing, and validating security controls for AI-assisted software development tools within an enterprise environment.

This position focuses on securing AI-driven coding platforms such as Claude Code, GitHub Copilot, and OpenAI Codex while integrating security configurations with Docker containers, Azure DevOps repositories, and CI/CD pipelines.

The ideal candidate will bring strong hands-on experience in container security, Azure DevOps, Linux administration, and configuration management, along with an understanding of the security challenges associated with AI-assisted development.

This is a hands-on technical role requiring the ability to implement and test security configurations, troubleshoot issues, document findings, and transfer operational knowledge to internal teams.

Key Responsibilities

• Configure and implement security controls for AI-assisted coding tools and development environments.
• Establish and manage permissions, execution restrictions, network access controls, credential protection, and security logging.
• Integrate security configurations with Docker containers and Azure DevOps repositories and pipelines.
• Configure and validate container security settings to support controlled execution of AI development tools.
• Implement appropriate access restrictions and credential protection measures within development workflows.
• Support secure configuration and use of AI development platforms, including Claude Code, GitHub Copilot, and OpenAI Codex.
• Evaluate security considerations associated with Model Context Protocol (MCP) integrations, AI tool capabilities, and enterprise-level controls.
• Test security configurations to verify effectiveness, identify gaps, and troubleshoot implementation issues.
• Maintain version-controlled security configurations using Git and structured configuration files.
• Develop technical documentation, test results, operating procedures, and configuration guidance.
• Collaborate with development, infrastructure, and information security teams to support implementation and operational readiness.
• Provide knowledge transfer and technical handoff to internal staff.

Required Qualifications

• Senior-level hands-on experience in information security engineering, DevSecOps, or a closely related technical discipline.
• Strong experience with Docker configuration and container security.
• Hands-on experience with Azure DevOps repositories, permissions, and pipelines.
• Proficiency with Linux administration and scripting.
• Experience using Git, JSON, and YAML for configuration management and version control.
• Experience implementing technical security controls, including permissions, execution restrictions, network access controls, credential protection, and logging.
• Ability to test security configurations, troubleshoot technical issues, and document findings.
• Strong analytical, problem-solving, and technical documentation skills.
• Ability to work independently, manage technical deliverables, and communicate effectively with technical stakeholders.

Preferred Qualifications

• Experience securing AI-assisted software development tools and environments.
• Familiarity with multiple AI coding platforms, including Claude Code, GitHub Copilot, and OpenAI Codex.
• Experience with Model Context Protocol (MCP) servers and integrations.
• Familiarity with agent skills, tool permissions, and enterprise security controls within Claude, GPT/OpenAI, and Copilot environments.
• Experience supporting secure AI adoption within enterprise software development workflows.

Technical Environment

Claude Code, OpenAI Codex, GitHub Copilot, Docker, Azure DevOps, Linux, Git, JSON, YAML, Model Context Protocol (MCP), agent skills, and enterprise AI development security controls.

Project Deliverables

• Functional, version-controlled security configurations for AI-assisted development environments.
• Documented security control testing results, identified gaps, and remediation recommendations.
• Technical operating procedures and support documentation.
• Completed knowledge transfer and operational handoff to internal staff.