Microsoft AI (MAI) is looking for a Senior Data Privacy & Governance Engineer to develop applications and platform components for personal AI systems like Copilot. The role requires technical expertise, problem-solving skills, and experience in distributed systems to ensure data integrity and compliance. The team is focused on advancing consumer AI products and research, including Copilot, Bing, and Edge. Candidates must be local to specific U.S. locations and work in the office three days a week.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor'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++, C#, Java, JavaScript, or Python OR equivalent experience.
• 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
• 3+ years experience in collaborating with engineering, product, legal, and compliance teams to embed privacy-by-design principles.

• Build tools in the areas of data security, privacy and governance products in distributed data, cloud platform environments.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation automated data governance systems.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.