Follow-on Suggestions are suggestions that appear after an AI or search engine responds to a user query, such as suggestions/prompts in Copilot Search or the People Also Ask and Related Searches experiences in Bing. These suggestions help users quickly continue their search, complete their tasks and explore related topics. The Follow-on Suggestions team in STCI team in the Microsoft AI organization develops these features for Copilot Search and Bing.

The team is recruiting a Principal Applied Science Manager to lead the development of impactful projects focused on enhancing follow-on suggestion experiences through recommendation systems, generative AI, and natural language processing. This position will oversee the design, testing, and deployment of AI solutions that enable follow-on suggestions in Copilot Search, Bing, and Edge. The successful candidate will collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft to advance suggestion capabilities and evaluate integration with AI agents for task completion.

Key responsibilities include designing and managing experiments, developing and evaluating advanced models such as RAG pipelines and fine-tuning frameworks, and translating research outcomes into scalable product features. Additionally, the role bridges research and production by applying data-driven methodologies to guide decisions, optimise processes, and deliver quantifiable results at scale.

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