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 vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.
Requirements
- 6+ years of Professional Software Engineering / AI experience.
- 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
- Build collaborative relationships with product and business teams to deliver impactful AI solutions.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check
- Growth mindset and customer empathy.
- Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
