Microsoft is looking to enhance Office productivity with AI-driven experiences and services across key applications, by building core platforms and experiences that bring large language models (LLMs) and real-time intelligence into Office apps.
Requirements
- AI and machine learning skills. Hands on experience with generative AI or machine learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a solid understanding of LLM concepts, embeddings, and prompt engineering.
- Distributed systems and cloud experience. Familiarity with Azure services, micro services architectures, and distributed storage systems (experience with Cosmos DB or similar is a plus). Ability to design and run fault tolerant infrastructure on a large scale and to implement secure, compliant solutions.
- Experience with languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- Familiarity with Azure services, micro services architectures, and distributed storage systems
Responsibilities
- Ship features with PM & Engineering. Co own scenario goals; translate product requirements into scientific plans and productionized solutions that meet quality/latency/cost targets.
- Generative AI and advanced technologies. Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and automation within the service.
- Azure platform integration. Deploy, integrate, and manage AI powered solutions within the Azure ecosystem, ensuring security, scalability, and compliance with best practices.
- Continuous learning and mentoring. Stay current with advances in generative AI and software engineering. Invest time in learning new tools and frameworks, propose improvements to build processes, and share knowledge with colleagues.
Other
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding
- Ability to meet Microsoft, customer and/or government security screening requirements
- Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- 1 + years of experience designing and running infrastructure systems that operate globally on a large scale
- Passion for mentoring others and contributing to an inclusive team culture
