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Open nowPosted 8 hours ago

Frontier Trust & Governance Architect

Microsoft2,358 open roles

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AU
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Your applicationOpen nowFrontier Trust & Governance ArchitectMicrosoft · AU

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Microsoft postings stay open a median of 22 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 8 hours ago

Microsoft median: 22 days open

The posting

Overview

The Frontier Transformation Framework helps our customers become Frontier Firms: organizations where autonomous agents execute work continuously under human oversight. In that model, governance is the backbone, not the brake: it is the structure that lets teams move fast precisely because the rails are sound. Governance designed at deployment drifts out of date within months, and because a Frontier Firm coordinates autonomous agents rather than people, the trust-and-governance backbone must be heavier, not lighter. The Frontier Transformation team is how the Microsoft Frontier Company, the organization this role sits within, delivers this: a small, senior human-agent team in which each member carries one of the Framework's eight capabilities into the customer, directs a set of digital co-workers to deliver at a scale headcount alone could not.

We are seeking a Frontier Trust & Governance subject matter expert to establish the frameworks, policies, and control systems that let AI operate safely, ethically, and at enterprise scale. In this role, you will design and operationalize the agent governance framework across intake, runtime, and change; own the guardrails, the control plane, and the baseline-before-build readiness checks; and balance innovation velocity with responsible AI, regulatory compliance, and the customer's risk tolerance.

You will help customers establish the governance, security, identity, data protection, and assurance capabilities required to operate AI and autonomous systems safely at enterprise scale.

This is a role for people who can hold both the policy and the technical control plane in their heads, who can translate emerging AI regulation into working guardrails, and who are energized by making autonomy safe rather than slow. You will work directly with the customer's risk, compliance, legal, security, and business leaders alongside Business Architects, Engineers, and Value leads, and you will transfer skills the customer's risk and compliance officers/owners so that governance is owned after your engagement ends. If you are excited by making frontier AI trustworthy and secure at scale, this role is for you.

Responsibilities

Strategy & Transformation

  • Assess governance and security maturity, identify capability gaps, and develop governance transformation roadmaps.
  • Advise customers on governance maturity progression from foundational AI governance through autonomous and ecosystem-scale governance.

Governance Operating Model

  • Design the AI Governance Operating Model including governance forums, stakeholder structures, decision rights, accountability models, and executive oversight mechanisms.
  • Define and implement ownership, stewardship, data access, human-in-the-loop, escalation, and accountability models for AI and agent solutions operating across business and technology functions.

Governance, Risk & Security

  • Establish Responsible AI, risk, security, privacy, and compliance frameworks, including policies, standards, control requirements, and governance guardrails that enable safe AI adoption at scale.
  • Design and operationalize AI and agent governance across the solution lifecycle, including intake, assessment, approval, deployment, runtime monitoring, change management, retirement, and ongoing oversight.

Assurance & Platforms

  • Establish governance observability and assurance capabilities, including governance metrics, executive reporting, auditability, compliance evidence, risk monitoring, and continuous assurance mechanisms.
  • Leverage Microsoft security, compliance, identity, governance, and AI management platforms (Agent 365, Purview, Entra and Defender) to operationalize governance capabilities and control structures for AI and autonomous systems.

Leadership & Adoption

  • Partner with customer executives, risk, compliance, legal, security, and business stakeholders to stand up governance councils, manage emerging regulatory requirements, and address evolving challenges associated with AI and autonomous systems.

Success in this role looks like

  • The customer has an adopted AI Governance Operating Model with clear ownership, accountability, decision rights, and executive oversight across AI, agents, data, and autonomous systems.
  • AI and agent solutions move from experimentation to production quickly and safely because governance, security, privacy, compliance, and Responsible AI controls are embedded by design rather than applied afterwards.
  • Customer data, identities, infrastructure, models, and agent ecosystems are protected through enterprise-scale governance, security, access management, threat protection, monitoring, and policy enforcement.
  • Microsoft Agent 365, Entra, Purview, and Defender provide an integrated control plane for governing, securing, monitoring, and assuring AI and autonomous systems at scale.
  • Autonomous systems operate within defined security, permissioning, accountability, escalation, and human-oversight boundaries, enabling safe adoption of agentic operating models.
  • Executives have clear visibility into AI risk, governance effectiveness, security posture, compliance status, and operational performance through measurable assurance and reporting mechanisms.
  • Governance and security capabilities are embedded into business operations and scale consistently across AI solutions, business functions, and regulatory environments.
  • The organisation can confidently govern and secure increasingly autonomous AI systems and multi-agent ecosystems without requiring significant redesign of governance or security structures.
  • The customer becomes self-sufficient in governing, securing, and continuously evolving its Trust & Governance capability as a strategic enterprise operating capability

Qualifications

Required Qualifications

  • Bachelor's degree in Information Security, Computer Science, Risk Management or a related field, AND 10+ years of experience in risk management, compliance, security, or governance; OR Master's Degree in a relevant field AND 8+ years of such experience; OR equivalent experience.
  • Proven experience designing and operationalising enterprise-scale AI governance, security, risk, and compliance capabilities, including governance operating models, accountability frameworks, and executive oversight structures for technology transformation initiatives.
  • Deep understanding of AI, agentic AI, and autonomous system risks, including model, data, identity, security, privacy, compliance, resilience, and Responsible AI considerations.
  • Experience balancing innovation velocity with appropriate governance and organizational risk tolerance.
  • Experience designing governance and security guardrails for AI solutions, including identity and access management, data protection, threat protection, monitoring, auditability, and policy enforcement.
  • Executive communication skills, including board-level risk reporting.
  • Experience leading cross-functional governance programmes involving business, legal, compliance, security, technology, and executive stakeholders.
  • Ability to work directly with senior stakeholders to define policy and operationalize controls.
  • Experience defining governance operating models, decision-rights frameworks, ownership structures, governance councils, and executive reporting mechanisms.
  • Executive presence and stakeholder influence, with the credibility to advise C-level, risk, security, legal, and business leaders and align them on governance, security, and AI strategy.
  • Ability to translate complex AI risks, options, and trade-offs into concise executive briefings, decision papers, and points of view that enable informed decisions.

Preferred Qualifications

  • Experience with AI/ML governance frameworks and Responsible AI programs.
  • Background in regulated industries such as Financial Services, Healthcare, or Government.
  • Knowledge of major AI governance and compliance frameworks (e.g., NIST AI RMF, EU AI Act, Microsoft Responsible AI Standard).
  • Hands-on knowledge of Microsoft Agent 365, Entra, Purview, Defender, and Azure security and compliance tooling.
  • Experience governing AI agents, Copilots, and autonomous systems at enterprise scale
  • Experience working with regulators, auditors, governance councils, and executive oversight bodies to operationalise AI governance and compliance.
  • Experience transferring governance practice and tooling to a client's own risk and compliance function.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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