AI DevSecOps Governance SME — 12-Month Contract, Sydney Join a well-established technology services and consulting organisation to pioneer and scale AI-driven security governance across the enterprise software development lifecycle (SDLC).
The Role In this forward-looking engineering role, you'll lead the implementation of governance frameworks and security standards powered by AI and Large Language Models (LLMs), integrating intelligent automation directly into CI/CD pipelines to transform how security policies, compliance checks, and code reviews are enforced across enterprise delivery teams.
Key Responsibilities AI-Driven Security Governance - Design, implement, and enforce DevSecOps governance frameworks, security guardrails, and compliance standards utilising AI capabilities and LLMs Automated Policy Enforcement - Build and deploy AI-assisted controls for automated code review, policy validation, threat modeling workflows, and security compliance checks within CI/CD pipelines Responsible AI Security Standards - Establish policy guidelines and security baselines for developer AI usage (AI code assistants, generative models, agentic workflows) to manage data privacy, IP,



and code vulnerability risks Pipeline Integration Shift-Left - Integrate intelligent security testing and automated remediation guidance into up-to-date CI/CD systems (e.g. GitHub Actions, GitLab CI, Azure DevOps) Cross-Functional Leadership - Partner with Security Architecture, Engineering Leads, and Product Teams to define AI governance roadmaps and drive developer adoption across squads What You'll Bring Essential: Deep hands-on experience establishing DevSecOps practices, CI/CD security controls, and application security standards in enterprise environments Practical experience using AI/LLM tools to automate security governance, policy checking, or code review workflows - not just theoretical understanding Proven ability to translate complex regulatory, security, and data privacy requirements into enforceable, automated software controls Proficiency with modern CI/CD platforms, scripting (Python, Bash), and APIs to integrate AI workflows into active pipelines Excellent stakeholder management skills with a track record of driving security cultural shifts and developer adoption Desirable: Exposure to secure AI deployment frameworks, model risk management, or AI safety standards (e.g. OWASP Top 10 for LLMs, NIST AI RMF) Experience with enterprise code scanning tools (SAST, SCA, DAST) and AI-driven triage mechanisms

📌 Ai Devsecops Governance Sme - 12 Month Contract (New South Wales)
🏢 Professional Recruitment Australia
📍 New South Wales