Job description

Overview Commercial Engineering & AI (CEAI) organization is at the forefront of Microsoft’s mission to accelerate AI-driven business value for customers and partners. As a Software Engineer in CEAI, you will join a dynamic team dedicated to building innovative AI solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. We are looking for a skilled and motivated Software Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining software applications and systems to support our business goals. You will work in a collaborative, growth-mindset environment, leveraging Microsoft’s cutting-edge AI stack—including Copilot, LLMs, and cloud-native technologies—to deliver scalable, secure, and high-impact products. The successful candidate will have a strong background in software development, be detail-oriented, and possess excellent problem-solving skills. Our engineers are empowered to experiment, learn, and drive measurable impact across Microsoft’s global commercial ecosystem. Responsibilities • Design, develop, and maintain robust, scalable, and secure software solutions for AI-powered products and services within the Commercial Business. • Collaborate with cross-functional teams—including product managers, data scientists, data engineers and UX designers—to deliver end-to-end features from concept to production. • Participate in code reviews, architecture discussions, and contribute to engineering best practices. • Drive continuous improvement by identifying opportunities to optimize performance, reliability, and developer productivity. • Write well-documented, high-quality, and maintainable code. • Ensure solutions adhere to Microsoft’s Responsible AI principles, compliance, and security standards. • Engage in agile development processes, including sprint planning, backlog grooming, and regular team syncs. • Contribute to a culture of inclusion, innovation, and technical excellence within the CEAI organization. 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 • Proficiency in at least one modern programming language (e.g., Python, Spark, C#, Java, TypeScript). • Experience building large-scale data processing solutions using technologies such as Spark, Databricks, Azure Data Factory, or similar platforms • Experience with LLMs and Azure AI stack / services including Foundry and Copilot Studio. • Experience with Azure cloud platforms and building distributed systems or web services. • Problem-solving experience and a background in learning new technologies. • Communication and collaboration experience. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com 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.

Requirements

Must-haves

Design, develop, and maintain robust, scalable, and secure software solutions for AI-powered products and services within the Commercial Business.
Collaborate with cross-functional teams—including product managers, data scientists, data engineers and UX designers—to deliver end-to-end features from concept to production.
Participate in code reviews, architecture discussions, and contribute to engineering best practices.
Drive continuous improvement by identifying opportunities to optimize performance, reliability, and developer productivity.
Write well-documented, high-quality, and maintainable code.
Ensure solutions adhere to Microsoft’s Responsible AI principles, compliance, and security standards.
Engage in agile development processes, including sprint planning, backlog grooming, and regular team syncs.
Contribute to a culture of inclusion, innovation, and technical excellence within the CEAI organization.
Required/minimum qualifications
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Proficiency in at least one modern programming language (e.g., Python, Spark, C#, Java, TypeScript).
Experience building large-scale data processing solutions using technologies such as Spark, Databricks, Azure Data Factory, or similar platforms
Experience with LLMs and Azure AI stack / services including Foundry and Copilot Studio.
Experience with Azure cloud platforms and building distributed systems or web services.
Problem-solving experience and a background in learning new technologies.
Communication and collaboration experience.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilejavajavascriptpythontypescriptazure

Platform: eightfold
Effort: medium