Principal Software Engineer

Are you excited about the potential of AI to revolutionize digital advertising? Join our team and play a pivotal role in building Advertiser Copilot, an innovative AI-powered assistant designed to help advertisers create and manage their campaigns through a seamless chat-based interface. Leveraging state-of-the-art Generative AI (GenAI), Advertiser Copilot generates text, image, and video creative assets, making campaign creation efficient and intuitive.

As a Principal Software Engineer on our team, you will:

• Design and develop the core platform for Advertiser Copilot using Semantic Kernel to enable intelligent interactions.
• Integrate cutting-edge GenAI models for text, image, and video generation, empowering advertisers to craft high-quality creatives effortlessly.
• Build scalable and efficient AI-driven workflows for campaign management within a chat-based UI.
• Collaborate with cross-functional teams, including AI researchers, product managers, and UX designers, to deliver an intuitive and powerful advertiser experience.
• Ensure high system reliability, security, and performance to support a production-grade AI assistant.

This opportunity will allow you to accelerate your career growth, work with the latest advancements in Generative AI, and influence technology development in a high-impact growth area at Microsoft AI.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile  commute of a non-U.S., country-specific location are expected to work from  the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. 

Responsibilities

• Collaborate with stakeholders to determine user requirements for Advertiser Copilot features.
• Drive the design and development of scalable and secure platforms, ensuring high performance and maintainability.
• Implement and optimize AI-driven workflows, ensuring efficiency and effectiveness.
• Lead technical discussions, identify dependencies, and develop design documents.
• Act as a Designated Responsible Individual (DRI), monitoring system reliability and resolving complex issues in real-time.
• Mentor engineers in the team.
• Continuously learn and adapt to emerging technologies, improving system availability, reliability, and performance.

Qualifications

Required Qualifications:

• 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
  • OR equivalent experience.
• 2+ years experience with Azure/AWS and Kubernetes for container orchestration and deployment.
• 2+ years experience in REST API development, ensuring secure and scalable communication between systems.

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.

Preferred Qualifications:

• Experience with Semantic Kernel or other AI integration frameworks.
• Proven ability to build and maintain large-scale, high-availability systems in Kubernetes.
• Solid collaboration skills, working effectively with cross-functional teams including AI researchers and UX designers.
• Passion for staying updated with the latest advancements in Generative AI and cloud technologies.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per ye