Join Microsoft's AI Foundry Agents organization, a pivotal team driving the Azure AI stack and PaaS. We are instrumental in advancing Azure's innovation, powering flagship products like Office, Teams, and Xbox, and building the global Azure AI infrastructure for massive AI workloads.

Our AI Foundry OSS Model Customization Team is at the forefront of enabling data scientists and developers to efficiently build, train, deploy, manage, and consume machine learning models. We collaborate globally with research institutions and industry leaders to create impactful solutions.

This role offers an exciting opportunity to contribute to groundbreaking projects in customizing open-source models and shape the future of AI.

Lead and mentor a team of talented engineers, fostering their growth and development in creating scalable, reliable, and maintainable services.

Focus on service usage, key metrics, and a customer-centric approach to product development.

Develop robust career plans to support team members' professional advancement.

Build and cultivate a diverse, inclusive, and high-performing team environment.

Guide the team in planning and executing technical deliverables effectively.

Collaborate with external partners and internal Microsoft teams to leverage cutting-edge technology and achieve the team's mission.

Bring your entrepreneurial spirit and curiosity to deliver transformative technology in a dynamic and challenging field.

We are seeking an experienced Principal Software Engineering Manager with a Bachelor's degree in Computer Science or a related technical field, coupled with 10+ years of technical engineering experience including coding in languages like C++, C#, Java, or Python. Alternatively, a Master's degree in Computer Science or a related technical field with 8+ years of experience is acceptable.

Requires 3+ years of people management experience. A strong foundation in Generative AI and Engineering is essential, along with a deep understanding of machine learning, deep learning, and natural language processing.

Proficiency in Python and ML libraries such as PyTorch and Transformers is crucial. Familiarity with transformer-based models (BERT, GPT, Llama), cloud platforms (Azure, AWS), and distributed computing (Kubernetes) is expected. Excellent problem-solving abilities and the capacity to work effectively both independently and as part of a team are key.