Security & Agentic AI DevSecOps Engineer

Job Title: Security & Agentic AI DevSecOps Engineer

Location: Milpitas, CA

Duration: Contract

 

Key Responsibilities

AI Security & Agentic Systems (Automation First)

•            Design and implement automated Agentic and AI security controlsfor agentic systems, including:

o            Automated model access control, inference authorization, and rate limiting

o            Policy driven prompt/instruction validation and misuse detection

o            Automated enforcement of agent to agent authentication and authorization

•            Implement continuous, automated threat modeling for:

o            LLM pipelines

o            Agent orchestration frameworks

o            AI gateways and inference services

•            Build secure by default reference architectures where AI guardrails are enforced via:

o            Configuration as code

o            Runtime policy engines

o            Automated security testing pipelines

•            Create Plugins , Hooks and Skills using claude code and or Microsoft AI foundry

 

DevSecOps & Secure SDLC (End to End Automation)

•            Implement fully automated Secure SDLC pipelines, integrating:

o            SAST, DAST, SCA, secrets detection, container scanning, and IaC scanning

o            AI specific security testing (prompt injection, model misuse, data leakage)

o            Automated build and release policy enforcement (fail gates, conditional approvals)

•            Ensure all security checks are:

o            Triggered automatically via CI/CD and MLOps pipelines

o            Enforced consistently across dev, test, and production

•            Automate security validation during:

o            Design reviews (template driven controls)

o            Architecture reviews (reusable security patterns)

o            Pre release readiness checks

SBOM, AI BOM & Supply Chain Automation

•            Design and operate automated SBOM and AI BOM pipelines, including:

o            Continuous generation of SBOMs for software, containers, firmware, and artifacts

o            Automated AI BOMs covering models, datasets, checkpoints, and training artifacts

•            Implement automated vulnerability, license, and provenance analysis:

o            Continuous ingestion of CVEs and advisories

o            Automated policy enforcement for non compliant components

•            Integrate SBOM and AI BOM outputs into:

o            CI/CD pipelines

o            Deployment gates

o            Audit and compliance reporting workflows

Runtime Security, Risk & Metrics Automation

•            Implement continuous, automated security monitoringacross:

o            Application runtimes

o            AI/ML inference services

o            Agent workflows and interactions

•            Develop automated security metrics and telemetry to measure:

o            Vulnerability exposure and remediation velocity

o            Secure SDLC and DevSecOps maturity

o            Model and AI risk posture over time

•            Automate security feedback loops so findings:

o            Generate actionable tasks

o            Feed directly into engineering backlogs

o            Drive measurable risk reduction

Technical Influence & Enablement

•            Ability and willing to learn,teach and develop agentic AI workflow automation using copilot studio and or Claude code

•            Act as a  technical authority on AI security automation and DevSecOps.

•            Define reusable security automation patterns, templates, and reference implementations.

•            Partner with engineering, AI/ML, platform, and compliance teams to replace manual security workflows with automated controls.

•            Contribute to internal security standards that mandate automation by default.

 

•            Strong hands on experience designing automated Product Security or AI Security systems.

•            Deep knowledge of:

o            Operating systems, infrastructure, cloud platforms, and hybrid environments

o            Automation frameworks and pipeline driven enforcement models

•            Ability to interpret and secure code written in multiple languages, with automation as the primary mitigation strategy.

•            Experience integrating security tooling via APIs and pipelines, not manual review.

•            Familiarity with security intelligence ingestion and automation, including:

o            CVE feeds

o            Security advisories

o            Automated alerting and remediation workflows

•            Strong understanding of cybersecurity, privacy, and AI governance requirements, with experience translating them into automated controls.

•            Ability to concurrently deliver multiple security automation initiatives.

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Minimum Qualifications

•            Bachelor’s degree in Computer Science, Cybersecurity, IT Security, or equivalent experience.

•            Experience in DevOps, SecOps, DevSecOps, or MLOps, with a strong automation focus.

•            Demonstrated success implementing automated Secure SDLC pipelines.

•            Ability to evaluate code and architecture risk and remediate through automation, not policy alone.

•            Familiarity with security frameworks and scoring systems:

o            MITRE ATT&CK

o            CVSS

o            CWE

•            Strong technical communication skills and cross functional influence.