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
- 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 transparent governance, accountability and decision-making frameworks.
- Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets to the