The AI Platform 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 Azure AI Foundry Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing OpenAI and OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.

If you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language models, we'd love to hear from you!

Apply now and let's build the future together.

As a Principal Software Engineer on our team, you will drive the design, development, and support of the platform that powers Azure Machine Learning and Azure OpenAI model customization in Azure AI Foundry. You’ll work across teams to help make the whole organization successful.

Your responsibilities will include the following:

• Design, implement, and support scalable, reliable, high-performance services with a strong focus on SLA/SLO, customer adoption and velocity of iterations

• Advocate new trends to adapt them to current problems and shares knowledge with peers

• Improve artificial intelligence tools and practices across the software development lifecycle.

• Lead discussions for architecture of complex products ensuring test strategies for solution quality

• Mentor in identifying dependencies and producing extensible code across teams.

• Lead debugging efforts and application of coding patterns to improve code quality

• Develop automation for production deployment targeting zero-touch when possible

• Embody our Culture and Values

• 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.
• 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.

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.

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.