The Commerce Risk Analytics team at Microsoft is looking to build intelligent, autonomous systems that deliver real-world impact, specifically designing, developing, and continuously improving a multi-agent AI Risk system for autonomous risk transaction review and decision-making.
Requirements
- Proficiency in Python for development and scripting
- Hands-on experience with LLMs, prompt engineering, and the OpenAI API
- Familiarity with Azure services, cloud infrastructure, and CI/CD pipelines
- Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
- Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
- Coding experience in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- Experience with software engineering, data science, or machine learning
Responsibilities
- Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce human manual effort and minimize false positive rates.
- Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
- Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
- 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
Other
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience
- 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
- Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience (preferred)
- 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python (preferred)
