Software Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

199000.0

Posted On

13 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Integration, MLOps, Python, C, C++, C#, Java, JavaScript, Large Language Models, Fraud Detection, Azure Services, Data Pipelines, Behavior Testing, Security, Compliance, Multi-Agent Frameworks

Industry

Software Development

Description

Overview Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. 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’re hiring across several focus areas, and your role will align with your expertise and interests: Autonomous Agent Development for Risk Decision – building LLM-based decision-making agents and advancing a multi-agent risk system AI Integration & MLOps – enabling scalable infrastructure, data pipelines, and operational excellence Quality & Integration – focusing on agent behavior testing, UI/UX integration, and platform reliability Responsibilities As a machine learning engineer, you will: Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates. Imlement 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 Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders Qualifications Required/minimum qualifications Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of experience in software engineering, data science, or machine learning 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 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. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design and optimize multi-agent AI architectures for autonomous risk assessment and decision-making. Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring.