Senior Software Engineer - Backend · Microsoft AI

Fri, 24 Apr 2026 12:11:16 GMT
Engineering

Microsoft AI · Redmond · $119,800 – $234,700 per year · hybrid

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 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.

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:

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.

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.

Preferred Qualifications:

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.

Experience with Azure/AWS and Kubernetes for container orchestration and deployment.

Proficiency in REST API development, ensuring secure and scalable communication between systems.

Experience with Microsoft Agent Framework 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.