Principal AI Architect

Evaluate

• Assess AI solutions — vendor, open-source, cloud, and internal — against criteria covering performance, reliability, interpretability, clinical appropriateness, data pipeline integrity, and integration feasibility.
• Lead build-vs-buy technical evaluation for all AI components, with written recommendations and documented reasoning.
• Conduct technical due diligence on vendor claims, including where benchmarks are insufficient or non-transferable to our clinical population.
• Issue written evaluation reports that are technically precise and accessible to non-technical stakeholders.

Govern

• Execute and adapt the division's AI Evaluation Framework across the full portfolio.
• Maintain a live register of AI components: evaluation status, production readiness, monitoring state.
• Set engineering standards for AI work produced within the division: code quality, model documentation, evaluation methodology, handoff protocols.
• Identify technical debt in the current AI project portfolio and propose a prioritised remediation plan.

Mentor

• Mentor engineers toward competencies in AI evaluation, integration engineering, and responsible AI practice.
• Assess team capability honestly and constructively, identifying individuals with genuine high potential.
• Participate in directorate-facing engagements — Community of Practice, pilot discussions — as a credible, non-partisan technical voice.