Security & Agentic AI DevSecOps Engineer (Product Security) - W2 Contract only - Milpitas, CA (Onsite)

We are looking for a Security & Agentic AI DevSecOps Engineer to join our team. Please review the job description below, and let us know if you are interested and available.

If this opportunity matches your experience and career goals, we would love to discuss it more. Additionally, feel free to share your updated resume for consideration.

Job Title / Role – Security & Agentic AI DevSecOps Engineer (Product Security)
Location – Milpitas, CA (Onsite)
Position Type: W2 Contract
Rate: $50/HR on W2

Job Details:

• Design and implement automated security controls across the AI/agentic system lifecycle — model access control, inference authorization, rate limiting, and policy-driven prompt/instruction validation.
• Implement continuous, automated threat modeling for LLM pipelines, agent orchestration frameworks, and AI gateways/inference services.
• 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/or Microsoft AI Foundry.
• Implement fully automated Secure SDLC pipelines integrating SAST, DAST, SCA, secrets detection, container scanning, and IaC scanning, plus AI-specific testing (prompt injection, model misuse, data leakage).
• Design and operate automated SBOM and AI BOM pipelines, including continuous SBOM generation and AI BOMs covering models, datasets, checkpoints, and training artifacts.
• Implement automated vulnerability, license, and provenance analysis with continuous CVE/advisory ingestion and policy enforcement.
• Implement continuous automated security monitoring across application runtimes, AI/ML inference services, and agent workflows; develop security metrics and telemetry.
• Develop and teach agentic AI workflow automation using Copilot Studio and/or Claude Code; act as technical authority on AI security automation and DevSecOps.
• Strong hands-on experience in automated Product Security or AI Security systems, with deep knowledge of cloud/hybrid infrastructure and pipeline-driven enforcement.
• Familiarity with MITRE ATT&CK, CVSS, CWE frameworks.

Minimum Qualifications:

• Bachelor''s degree in Computer Science, Cybersecurity, IT Security, or equivalent experience.
• Experience in DevOps, SecOps, DevSecOps, or MLOps with strong automation focus.
• Demonstrated success implementing automated Secure SDLC pipelines.

Thank you!

Thank you!

Best Regards,

Sumit Talekar

Associate Manager – Talent Acquisition

Silverlink Technologies Inc.