Staff Applied AI Engineer

Define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team.

Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt.

Architect AI systems designed to prevent systemic failure, and lead the resolution of the most severe incidents tied to model safety or data integrity.

Build reusable AI capabilities, such as production-ready agent implementations built on proven architectures, fine-tuned models, or evaluation methodologies…

Experience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing serving cost…

Experience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another team.

A track record of establishing standards that outlived the projects they were built for, such as an evaluation methodology, an MLOps practice…

Comfort operating with executive-level clients and leadership, including defending a technical position under pressure.