Jobs
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Join us in building the foundation for the next generation of AI.
The Platform Engineering team is responsible for designing and optimizing AI Agents that can reason, plan, and take action autonomously. we build robust orchestration layers that coordinate complex multi-model and multi-service workflows with reliability and scale. We push the boundaries of inference performance, driving low-latency, high-quality model execution across production workloads. As a Member of Technical Staff, Platform Tools, you'll design and deliver the primitives that power Copilot and other AI-powered experiences. These building blocks form the backbone of secure, scalable, and reliable workflows that product teams use to craft robust and seamless user experiences. From tool orchestration to performance optimization, you'll deliver fast, secure, and dependable execution that turns Copilot into a true productivity engine.
Your work will make it possible for agents to call APIs, services, and workflows securely, efficiently, and with high success rates - ensuring Copilot doesn't just answer questions but gets things done.
Ideal candidates have backend or ML systems expertise who thrive at the intersection of product and inference. You take ownership, tackle hard problems, and build the connective systems that make AI products fast, reliable, and scalable- collaborating with teams to deliver high-impact platforms that power real-world workflows.
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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Build secure and performant AI platform services that power Copilot
- Collaborate with engineers and AI researchers to design scalable, reliable, and maintainable systems.
- Deliver production-quality code iteratively and efficiently, overcoming roadblocks to get features into users’ hands.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required Qualifications
- Bachelor’s degree in Computer Science or related technical discipline and 4+ years of technical engineering experience, or equivalent experience.
Preferred Qualifications
- Bachelor’s degree in Computer Science or related technical discipline and 6+ years of technical engineering experience, or equivalent experience.
- Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust.
- Strong collaborator with proven ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and work effectively with cross-functional teams.
- Skilled at designing and operating reliable, high-performance systems, identifying and resolving complex technical issues, and writing clean, maintainable, and secure code.
- Adaptable, proactive, and passionate about learning new technologies, thriving in fast-paced environments, and contributing to an inclusive, high-impact team culture.
- Hands-on experience with AI platforms, machine learning frameworks, and APIs, including developing, deploying, and scaling language models.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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.
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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
Recommend to a Friend
Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Software Engineer
0 reports
$219,263
total / year
Base
$161,991
Stock
$39,169
Bonus
$18,104
$156,314
$317,984
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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