Trust Architect, Responsible AI, Risk & Governance

Jobtailor; Sydney; On-site; AUD 160,000 - 230,000; Full time

Job summary

Jobtailor seeks a senior AI governance specialist to lead governance, model risk, and responsible AI initiatives across large-scale technology changes in the APAC region. You will design guardrails, perform evaluations, and drive adoption with stakeholders and delivery teams.

You will influence regulatory alignment, build trust with clients, and ensure governance and accountability frameworks are in place before production. This role requires strong communication and change enablement skills.

Qualifications

• 5+ years across AI governance, model risk, security, responsible AI, or large-scale technology change and adoption.
• Strength in two of AI governance, model risk, security, responsible AI, or large-scale technology change and adoption, with a credible path into the third.
• Hands-on evaluation experience with generative or agentic systems is strongly preferred over policy-only backgrounds.
• Working knowledge of the APAC regulatory environment relevant to their market.
• Practical change and enablement capability with technical audiences and frontline users alike.

Responsibilities

• Set governance, risk and security guardrails before build begins
• Embed controls, human review and feedback loops as systems evolve
• Support regulatory and privacy positions with client and Avanade specialists
• Design and run evaluations, including accuracy targets, test harnesses and release evidence
• Hold the release gate with delivery and quality teams
• Work with FDEs to build trust and monitoring into systems
• Design adoption and change approaches through transparency, education and demonstrated outcomes
• Help clients redesign human-agent interaction to fit real work
• Track active usage and effective human oversight after go-live
• Support executive and Board confidence with governance and accountability frameworks
• Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets
• Provide independent challenge where trust risks are not being addressed
• Ensure governance, guardrails and security controls are in place before build starts
• Ensure target accuracy, safety and governance thresholds are met before production
• Drive adoption above the agreed threshold 90 days post-go-live
• Ensure compliance with responsible AI standards and client obligations

Skills

AI Governance

Model Risk

Responsible AI

Change Management

Evaluation Experience

Stakeholder Engagement

Trust Building

Communication

Change Enablement

Feedback Loop Implementation

Job description

• Set governance, risk and security guardrails before build begins
• Embed controls, human review and feedback loops as systems evolve
• Support regulatory and privacy positions with client and Avanade specialists
• Design and run evaluations, including accuracy targets, test harnesses and release evidence
• Hold the release gate with delivery and quality teams
• Work with FDEs to build trust and monitoring into systems
• Design adoption and change approaches through transparency, education and demonstrated outcomes
• Help clients redesign human-agent interaction to fit real work
• Track active usage and effective human oversight after go-live
• Support executive and Board confidence with governance and accountability frameworks
• Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets
• Provide independent challenge where trust risks are not being addressed
• Ensure governance, guardrails and security controls are in place before build starts
• Ensure target accuracy, safety and governance thresholds are met before production
• Drive adoption above the agreed threshold 90 days post-go-live
• Ensure compliance with responsible AI standards and client obligations

Requirements

• 5+ years across AI governance, model risk, security, responsible AI, or large-scale technology change and adoption
• Strength in two of AI governance, model risk, security, responsible AI, or large-scale technology change and adoption, with a credible path into the third
• Hands-on evaluation experience with generative or agentic systems is strongly preferred over policy-only backgrounds
• Working knowledge of the APAC regulatory environment relevant to their market
• Practical change and enablement capability with technical audiences and frontline users alike
• Able to build trust with sceptical stakeholders and to say no with evidence
• Comfortable in a role that is still being defined, in a track with no established internal precedent
• Australian Citizens are preferred; Permanent Residents will also be considered

Core Competencies

Demonstrates expertise in AI Governance, Model Risk, and Responsible AI, with a strong focus on compliance and security controls. Proven ability to drive change and adoption through effective stakeholder engagement and evaluation methodologies.

Highest-signal resume keywords

• AI Governance
• Model Risk
• Responsible AI
• Change Management
• Evaluation Experience

Hard Skills

• Governance Frameworks
• Risk Management
• Security Controls
• Evaluation Harnesses
• Accuracy Targets
• Test Harnesses
• Compliance Standards
• Human-Agent Interaction Design
• Monitoring Systems
• Adoption Strategies

Soft Skills

• Stakeholder Engagement
• Trust Building
• Communication
• Change Enablement
• Feedback Loop Implementation

Industry Keywords

• APAC Regulatory Environment
• Responsible AI Standards
• Governance and Accountability Frameworks
• Human Oversight
• Delivery and Quality Teams