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.
KEY RESPONSIBILITIES
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.
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.
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.