Overview
The Commerce Risk Analytics team at Microsoft is looking for AI Agent Developers to help shape the future of intelligent multi-agent systems. You’ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration—building solutions that power scenarios from fraud prevention to customer support automation.
We are looking for a Senior Data Scientist to join our team.
Your role will be in building LLM-based decision-making agents and advancing conversational AI, enabling scalable infrastructure, data pipelines, and operational excellence, and focusing on agent behavior testing, UI/UX integration, and platform reliability.
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.
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Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 1+ years of experience with Python for development and scripting.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Experience with LLMs, prompt engineering, and the OpenAI API
- Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
- Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
- Experience with debugging skills and a solid understanding of security and data protection principles
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until May 26, 2025.
Responsibilities
- Design, build, and iterate on AI agents leveraging LLM models, multi-agent frameworks, and Microsoft’s AI ecosystem
- Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
- Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
- Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
- Apply best practices in security, compliance, and privacy to all aspects of agent development
- Document agent behavior, test results, and learnings to ensure transparency and knowledge sharing
