Senior AI Applied Scientist

Overview

Do you want to build a product that blends the cutting edge of Microsoft AI, the Microsoft 365 & Microsoft Teams ecosystem, and the Power Platform to empower every seller on the planet to achieve more? Are you energized by fast-paced, collaborative teams using diverse technologies to deliver real value quickly? If so, you'll feel right at home on the Microsoft Sales Agent team.

The emergence of AI technologies and digital collaboration is disrupting the ways in which selling is happening. Instead of navigating Customer Relationship Management (CRM) platforms, sellers now expect AI-powered agents, and insights directly integrated into their day-to-day productivity tools to get real time coaching. The Microsoft Sales Agent team brings autonomous agents which are intelligent and powers contextual experiences into the modern-work suite across Microsoft Copilot, Outlook, and Teams.

These experiences seamlessly integrate with leading Customer Relationship Management (CRM) systems like Salesforce or Dynamics 365.

As a AI Applied Scientist for The Sales Agent Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.    You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems.

Your work will directly influence product direction and customer experience.  We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes. 

We are looking for an AI Applied Scientist II to join our team. This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.  Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Bringing the State of the Art to Products  - Build collaborative relationships with product and business groups to deliver AI-driven impact  - Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.  - Fine-tune foundation models using domain-specific datasets.

- Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.  - Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.  Contribute to papers, patents, and conference presentations.

- Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.   - Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.  Leveraging Research in real-world problems  - Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact. 

- Share insights on industry trends and applied technologies with engineering and product teams.  - Formulate strategic plans that integrate state-of-the-art research to meet business goals.  Documentation  - Maintain clear documentation of…