Enabling organizations to adopt and scale AI agents with measurable business impact, unified governance, and actionable insights, driving innovation in Copilot and Copilot Studio scenarios.
Requirements
- 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 1+ years' hands on experience with AI/LLM (Large Language Modeling)
- Experience programming with Python, Typescript, C-Sharp (any) is preferred.
- Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs)
- Vision, Audio, and Multimodal Foundation Models
- Agentic Systems
- Prompt Tuning
Responsibilities
- Conduct applied research to develop innovative AI and machine learning models that address real-world challenges.
- Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
- Create and adapt novel training and fine-tuning algorithms for language models.
- Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.
- Operate and support 24X7 usage of AI Models by customers
- Document and share best practices across the organization.
- Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to solve complex problems.
Other
- Embody our Culture and Values
- 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.
- Supports mentorship by assisting with onboarding of research interns or other team members.
- Microsoft is an equal opportunity employer.
