AI DevSecOps Governance SME - 12 Month Contract

Professional Recruitment Australia; Sydney; On-site; AUD 170,000 - 230,000; Full time

Job summary

Professional Recruitment Australia in Sydney is seeking an AI DevSecOps Governance SME for a 12-month contract. You will lead the implementation of AI-powered governance frameworks, security standards and compliance checks across the enterprise SDLC, embedding intelligent automation into CI/CD pipelines to strengthen policy enforcement.

The role demands hands-on DevSecOps experience in large organisations, the ability to translate regulatory and data privacy requirements into automated controls,

Qualifications

• Hands-on DevSecOps practices in enterprise environments.
• Experience using AI/LLM tools to automate governance, policy checks, or code review workflows.
• Translate complex regulatory, security, and privacy requirements into automated software controls.
• Proficiency with scripting (Python, Bash) and APIs to integrate AI into CI/CD pipelines.
• Strong stakeholder management and ability to drive security culture changes.

Responsibilities

• AI-Driven Security Governance—Design, implement, enforce governance frameworks, guardrails and compliance using AI and LLMs.
• Automated Policy Enforcement—Build AI-assisted controls for automated code review, policy validation, threat modeling within CI/CD.
• Responsible AI & Security Standards—Establish security baselines for developer AI usage and data privacy.
• Pipeline Integration & Shift-Left—Integrate AI testing and automated remediation into CI/CD systems (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 adoption among squads.

Skills

DevSecOps

CI/CD security

Python

Bash

APIs

Stakeholder management

Tools

GitHub

GitLab

Azure DevOps

Job description

AI DevSecOps Governance SME - 12 Month Contract

Professional Recruitment Australia – Sydney NSW

Contract, Casual/Temporary

13h ago , from Professional Recruitment Australia

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 modern 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