Trust Architect (Responsible AI , Risk & Governance)

Avanade

Sydney

On-site

AUD 150,000 - 190,000

Full time

6 days ago
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Job summary

Avanade seeks a Trust Architect to lead governance, risk and security guardrails for Avanade Next AI systems in Australia and APAC. You will design evaluation frameworks, oversee adoption, and ensure responsible AI practices with clients and teams.

The role requires deep experience in AI governance, model risk, and enabling business users through transparent, evidence-based governance. Flexible across major Australian cities and APAC markets.

Qualifications

  • 5+ years across AI governance, model risk, security, responsible AI, or large-scale technology change and adoption.
  • Hands-on evaluation experience with generative or agentic systems is strongly preferred.
  • Working knowledge of 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 with no established internal precedent.

Responsibilities

  • Governance, guardrails and security controls before build starts.
  • Embed controls, human review and feedback loops as the system evolves.
  • Support regulatory and privacy positions with the right 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 shoulder to shoulder with FDEs so trust and monitoring are built in.
  • Design adoption and change approaches that build confidence through transparency, education and demonstrated outcomes.
  • Help clients redesign human-agent interaction so systems fit real work.
  • Track active usage and effective human oversight after go-live.
  • Provide independent challenge where trust risks are not being addressed.
  • Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets.
  • Support executive and Board confidence with clear governance and accountability frameworks.

Skills

AI governance
Model risk
Security
Responsible AI
Large-scale change
Evaluation with generative AI
APAC regulatory knowledge
Change enablement
Stakeholder trust

Job description

Summary

Trust Architects build trust in the AI and trust among the people who use it. They make sure every system Avanade Next ships is safe, reliable and ready for production — and that the client's people are confident, capable and willing to adopt new ways of working alongside it.

Summary

Trust Architects build trust in the AI and trust among the people who use it. They make sure every system Avanade Next ships is safe, reliable and ready for production — and that the client's people are confident, capable and willing to adopt new ways of working alongside it.

The role operates across two dimensions. Trust in the AI: evaluation frameworks, accuracy measures, security controls, governance controls and human-in-the-loop safeguards. Trust in the people: adoption design, capability uplift, ways of working and confidence in human-agent collaboration.

Location

Flexible across Sydney, Melbourne, Brisbane, and Perth.

Key Responsibilities
Governance & Guardrails
  • Set governance, risk and security guardrails before build begins.
  • Embed controls, human review and feedback loops as the system evolves.
  • Support regulatory and privacy positions with the right client and Avanade specialists.
Evaluation & Release Assurance
  • Design and run evaluations, including accuracy targets, test harnesses and release evidence.
  • Hold the release gate with delivery and quality teams.
  • Work shoulder to shoulder with FDEs so trust and monitoring are built in.
Adoption & Ways of Working
  • Design adoption and change approaches that build confidence through transparency, education and demonstrated outcomes.
  • Help clients redesign human-agent interaction so systems fit real work.
  • Track active usage and effective human oversight after go-live.
Contribution & Reuse
  • Support executive and Board confidence with clear governance and accountability frameworks.
  • Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets.
  • Provide independent challenge where trust risks are not being addressed.
KEY MEASURES
  • Governance, guardrails and security controls in place before build starts.
  • Target accuracy, safety and governance thresholds met before production.
  • Adoption above agreed threshold at 90 days post-go-live.
  • Compliance with responsible AI standards and client obligations.
  • Reusable trust, evaluation and adoption assets contributed from every engagement.
Qualifications
SKILLS AND EXPERIENCE
  • 5+ years across AI governance, model risk, security, responsible AI, or large-scale technology change and adoption. Strength in two of these with a credible path into the third is expected — few candidates will have all of it.
  • 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.
Work Rights:

Australian Citizens are preferred; however, Permanent Residents will also be considered.

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