Description

You design and automate security controls for agentic AI systems, LLM pipelines, and secure SDLCs. You own the implementation of automated threat modeling, runtime security, and supply chain integrity (SBOM/AI BOM) across cloud and hybrid environments.

This role is on-site.

Responsibilities

• Design automated Agentic AI security controls, including model access control, inference authorization, rate limiting, and policy-driven prompt validation.
• Implement continuous, automated threat modeling for LLM pipelines, agent orchestration frameworks, and AI gateways.
• Build secure-by-default reference architectures using configuration as code, runtime policy engines, and automated security testing pipelines.
• Execute fully automated Secure SDLC pipelines integrating SAST, DAST, SCA, secrets detection, container scanning, and IaC scanning with AI-specific security tests.
• Operate automated SBOM and AI BOM pipelines for continuous generation, vulnerability analysis, and compliance reporting.

Required Skills

• 5+ years of hands-on experience in DevSecOps, SecOps, or Product Security.
• Deep knowledge of CI/CD and MLOps pipeline automation.
• Experience implementing automated Agentic AI security controls and LLM pipeline security.
• Proficiency in creating Plugins, Hooks, and Skills using Claude Code and/or Microsoft AI Foundry.
• Strong understanding of SBOM and AI BOM generation and integration into deployment gates.
• Ability to interpret and secure code across multiple languages with automation as the primary mitigation strategy.
• Experience integrating security tooling via APIs and pipelines, including CVE feed ingestion and automated alerting.

Preferred Skills

• Experience with Copilot Studio for agentic AI workflow automation.
• Strong background in operating systems, infrastructure, and hybrid cloud platforms.

Key Skills

Education

Bachelor's degree