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.

Building trust in the AI

• Design and run evaluations: define accuracy targets, build the harness, drive the system to target and evidence it.

• Set governance, risk and security guardrails before build begins, and keep them current as the system evolves.

• Embed guardrails, controls and human-in-the-loop review, including the feedback loop that improves the system after release.

• Establish the evidence required for a system to move from prototype to production, and hold the release gate.

• Own the regulatory and privacy position on the engagement — APRA, MAS, data residency and client-specific obligations.

• Work shoulder to shoulder with FDEs so trust, evaluation and monitoring capability is built in from the outset.

Building trust in the people

• Design the adoption and change approach that builds confidence through transparency, education and demonstrated outcomes.

• Help the client redesign ways of working and human-agent interaction so the system fits how people actually work.

• Lead enablement so the client's people can and do use what has been built.

• Drive uptake and user confidence after go-live, tracking active usage rather than reported satisfaction.

• Support executive and Board confidence with clear governance, accountability and decision-making frameworks.

• Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets to the APAC library.

• Governance, guardrails and security controls in place before build starts on every engagement.

• Target accuracy, safety and governance thresholds met and evidenced before production release.

• Adoption above 70% active usage at 90 days post-go-live, with effective human-in-the-loop operation.

• Full compliance with Avanade responsible AI standards and client regulatory obligations.

• Reusable trust, evaluation and adoption assets contributed from every engagement.

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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.

• 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.

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