The Principal Software Engineer role on the Azure Artificial Intelligence Core team at Microsoft focuses on designing, building, and maintaining AI systems that support large-scale workloads. The team works on various multimodal verticals, including real-time audio interaction and content moderation. This hands-on position requires deep expertise in distributed systems and AI architectures, emphasizing collaboration and problem-solving. The role also involves working closely with OpenAI and internal partners to advance AI capabilities.

• Bachelor'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.
• 5+ years of hands-on experience with designing, building, and maintaining distributed systems with scalable architecture, and API designs.
• 2+ years of experience in AI/ML fundamentals and practical applications, architecting and delivering AI-based solutions.
• 4+ years of experience with relevant tools and frameworks such as Kubernetes, Azure Devops, or Docker.

• Design and build scalable, reliable architectures that meet high-performance requirements for AI systems.
• Dive deep into existing components to identify and resolve issues quickly.
• Work closely with multiple internal teams and external partners to solve complex problems.
• Identify non-obvious technical approaches that unlock new possibilities and iterate rapidly to achieve outcomes.
• Engage with components across the entire stack—from infrastructure to APIs—to deliver end-to-end solutions.
• Articulate complex concepts clearly, build consensus, and create systems that accelerate team velocity.

• 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.