Generative Ai Security Automation Engineer

Senior Engineer, Generative AI & Security Automation

Location: Hybrid, Phoenix, AZ
Employment: W2 only (no C2C). Background verification must be cleared.

About the role
We're looking for a senior engineer to design, build, and productionize agentic AI systems that automate enterprise security work and embed security across the software lifecycle. You'll also help reduce Generative AI and agentic AI security risk, and mentor teams on secure AI-assisted engineering.

What you'll do

• Design and build autonomous and semi-autonomous AI agents covering planning, tool use, memory, multi-agent orchestration, human-in-the-loop controls, and failure recovery
• Build Secure SDLC agents for secure design review, threat modeling, code review, dependency and vulnerability analysis, pull-request checks, and release gates
• Integrate agents with source control, CI/CD, issue tracking, security scanners, cloud services, and internal APIs, enforcing least privilege, secrets protection, and auditability
• Develop security automation tooling and GitHub automation that raises visibility and enforces best practices
• Set up agent quality and security evaluation: prompt-injection resistance, data leakage, unsafe tool use, groundedness, reliability, latency, and cost
• Run POCs on security tooling, zero-day vulnerabilities, and emerging risks
• Lead and mentor on agent architecture, secure coding, and production readiness

Must have

• Bachelor's in Cybersecurity, Data Science, Computer Science, or Software Engineering
• 10+ years of software engineering, including 10+ years of automation and development in CI/CD
• 5+ years of cybersecurity and 2+ years of Generative AI
• Production experience with agentic AI or AI coding-agent solutions, ideally in security, developer productivity, or Secure SDLC
• Hands-on with Claude/Claude Code, OpenAI Codex, and agent frameworks such as LangGraph, AutoGen, CrewAI, and Model Context Protocol (MCP)
• Python, JavaScript, or Bash, plus familiarity with Go, Rust, or Java
• API integrations, and knowledge of OWASP Top 10 and Generative AI security
• Familiarity with Oracle, SQL, and NoSQL databases

Nice to have

• Master's in Cybersecurity, Data Science, CS, or Software Engineering
• GIAC, CISSP, Generative AI, or MLOps certifications
• Adversarial robustness for ML, AI risk management frameworks, and Trustworthy AI practices

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