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.

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