Advancing Microsoft's mission to empower every individual and organization on the planet to achieve more by developing and integrating cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. The role aims to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.
Requirements
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).
- 3+ years of experience publishing in peer-reviewed venues or filing patents.
- 3+ years of experience conducting research in academic or industry settings.
- 1+ year of experience developing and deploying live production systems.
- 1+ years of experience working with Generative AI models and ML stacks.
- Experience across the product lifecycle from ideation to shipping.
Responsibilities
- Research, implement, and fine-tune state-of-the-art AI models using advanced techniques like foundation models, prompt engineering, and multi-agent architectures.
- Rapidly prototype AI solutions, deploy them to production, debug code, and support MLOps/AIOps workflows.
- Translate research into production-ready solutions, measure impact through A/B testing and telemetry, and contribute to papers, patents, and conferences.
- Use data to identify gaps in AI quality, uncover insights, and implement proof-of-concept projects.
- Maintain clear documentation of experiments and share findings internally to promote innovation and knowledge sharing.
Other
- 3 days / week in-office
- Travel 0-25%
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Experience presenting at conferences or industry events.
