Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 8+ years people management experience.
- 5+ years practical experience with Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Service (AWS).
- 5+ years experience leading geographically dispersed, diverse, and virtual teams.
- 3+ years experience with practical issues around AI deployments, including hardware (client and server), software (AI frameworks, MLOps and GenAIOps), data (data protection, privacy, sovereignty); and legal/regulatory (IP, explainability, bias, and safety).
- 3+ years demonstrated ability to work with customers and collaborate across company boundaries.
Other Requirements
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
Additional or Preferred Qualifications
- Bachelor's Degree in Computer Science
- OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master'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++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience in modern AI technologies and trends, including deep learning, reinforcement learning, foundation models for vision, audio, and language, GPT architectures, autonomous systems.
- Experience with releasing open source software and building machine learning-powered features.
- Enjoy travel and are comfortable with travel up to 25%.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until May 12, 2025.