Job Description

SUMMARY

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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 current ways of working alongside it.

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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.

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KEY RESPONSIBILITIES

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Building trust in the AI

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- Design and run evaluations: define accuracy targets, build the harness, drive the system to target and evidence it.
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- Set governance, risk and security guardrails before build begins, and keep them current as the system evolves.
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- Embed guardrails, controls and human-in-the-loop review, including the feedback loop that improves the system after release.
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- Establish the evidence required for a system to move from prototype to production, and hold the release gate.
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- Own the regulatory and privacy position on the engagement — APRA, MAS, data residency and client-specific obligations.
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- Work shoulder to shoulder with FDEs so trust, evaluation and monitoring capability is built in from the outset.
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Building trust in the people

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- Design the adoption and change approach that builds confidence through transparency, education and demonstrated outcomes.
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- Help the client redesign ways of working and human-agent interaction so the system fits how people actually work.
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- Lead enablement so the client's people can and do use what has been built.
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- Drive uptake and user confidence after go-live, tracking active usage rather than reported satisfaction.
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- Support executive and Board confidence with clear governance, accountability and decision-making frameworks.
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- Contribute evaluation harnesses, guardrail patterns,



governance frameworks and adoption assets to the APAC library.
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KEY MEASURES

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- Governance, guardrails and security controls in place before build starts on every engagement.
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- Target accuracy, safety and governance thresholds met and evidenced before production release.
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- Adoption above 70% active usage at 90 days post-go-live, with effective human-in-the-loop operation.
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- Full compliance with Avanade responsible AI standards and client regulatory obligations.
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- Reusable trust, evaluation and adoption assets contributed from every engagement.
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SKILLS AND EXPERIENCE

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- 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.
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- Hands-on evaluation experience with generative or agentic systems is strongly preferred over policy-only backgrounds.
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- Working knowledge of the APAC regulatory environment relevant to their market.
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- Practical change and enablement capability with technical audiences and frontline users alike.
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- Able to build trust with sceptical stakeholders and to say no with evidence.
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- Comfortable in a role that is still being defined, in a track with no established internal precedent.
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WAYS OF WORKING

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- Engaged from the earliest stage of the engagement, not the week before go-live.
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- Balances trust in the AI and trust in the people who use it — evaluation and governance alongside change and adoption.
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- Held centrally in the shared workforce pool and deployed across all of Next.
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- Works shoulder to shoulder with FDEs during build — safety is designed in, not inspected in.
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- Provides independent challenge where trust, security, governance or adoption risks are not being adequately addressed, while helping the team find a practical path forward.
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- Stays with the client through adoption, so responsibility does not end at deployment.
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- AI-native by default in their own work; regional travel following the mandate.
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📌 Trust Architect (New South Wales)
🏢 Avanade
📍 New South Wales