As a Research Engineer in the Power Platform Managed Transformation Team, you’ll play a pivotal role in delivering our mission: enabling organizations to adopt and scale AI agents with measurable business impact, unified governance, and actionable insights. You’ll collaborate with experts across governance, analytics, and platform services to drive innovation in Copilot and Copilot Studio scenarios, helping customers realize the full potential of AI-powered agents.

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.

Supports mentorship by assisting with onboarding of research interns or other team members.

Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to solve complex problems.