The Foundry Agents organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.
Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry OSS Model Customization Team is at the forefront of this mission working on groundbreaking projects for customizing of OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users
Responsibilities
Responsibilities:
- Foster and develop talented engineers capable of developing and running scalable, reliable, maintainable services.
- Focus on usage/metrics of the owned services and be customer focused.
- Create robust career development plans to help team members grow.
- Lead, coach, and build a diverse, inclusive, high-performing team where all team members can do their best work.
- Help the team plan and execute technical deliverables.
- Work closely with our external partners to support the team’s mission.
- Collaborate closely with teams within Microsoft to leverage the best technology to advance the team’s mission.
- Bring your curiosity, entrepreneurial spirit, and passion to deliver on the promise of technology in a difficult, and exciting vertical.
- Gain a working understanding of Microsoft as a business and collaborate with mentors and leaders to contribute to cohesive, end-to-end experiences for our users.
- Embody our Culture and Values.
Qualifications
Required and Preferred
- Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to C++ / C#, Java or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to C++ / C#, Java or Python OR equivalent experience.
- 3+ years people management experience.
- Depth in Generative AI and Engineering
- A strong background in machine learning, deep learning, and natural language processing.
- Proficiency in Python and relevant ML libraries (e.g., PyTorch, Transformers).
- Experience with transformer-based models (e.g., BERT, GPT, Llama).
- Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing (Kubernetes).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
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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.
Skills Required
- Bachelor's degree in Computer Science or related field and 10+ years technical engineering experience OR Master's degree and 8+ years experience or equivalent
- Experience coding in C++, C#, Java or Python
- 3+ years people management experience
- Depth in Generative AI and Engineering
- Strong background in machine learning, deep learning, and natural language processing
- Proficiency in Python and ML libraries (e.g., PyTorch, Transformers)
- Experience with transformer-based models (BERT, GPT, Llama)
- Familiarity with cloud platforms (Azure, AWS) and distributed computing (Kubernetes)
- Excellent problem-solving skills and ability to work independently and collaboratively
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.







