Description

You design and implement automated security controls for agentic AI systems and end-to-end DevSecOps pipelines.

This role is remote.

Responsibilities

• Implement automated AI security controls including model access control, inference authorization, rate limiting, and prompt validation.
• Build secure-by-default reference architectures using configuration-as-code, runtime policy engines, and automated security testing pipelines.
• Create plugins, hooks, and skills using Claude Code and Microsoft AI Foundry to integrate security into agentic workflows.
• Design and operate automated SBOM and AI-BOM pipelines for continuous generation, vulnerability analysis, and compliance reporting.
• Integrate SAST, DAST, SCA, secrets detection, and container scanning into CI/CD and MLOps pipelines with automated fail gates.

Required Skills

• 5+ years of experience in DevSecOps, MLOps, or Product Security with a strong automation focus.
• Deep knowledge of AI/ML security, including prompt injection defense, model misuse detection, and AI governance.
• Hands-on experience with CI/CD pipeline integration, API-driven security tooling, and automated remediation workflows.
• Proficiency in securing infrastructure, cloud platforms, and hybrid environments.
• Experience integrating security intelligence ingestion, including CVE feeds and automated alerting.
• Bachelor’s degree in Computer Science, Cybersecurity, IT Security, or equivalent experience.

Preferred Skills

• Experience with Copilot Studio for agentic AI workflow automation.
• Ability to interpret and secure code in multiple languages with automation as the primary mitigation strategy.

Key Skills

Education

Bachelor's degree