About the position
Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. The CoreAI organization at Microsoft builds the end-to-end AI stack and is core to Azure AI innovation and differentiation, as well as all of Microsoft’s flagship products, from GitHub, to Office, Teams, and Xbox. We are the team building Responsible AI, Azure OpenAI, Model as a Service, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. We do not just value differences or different perspectives - We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Within CoreAI, the Foundry team empowers builders around the world of all skill levels to easily create AI apps. The Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content. We are looking for a Senior Software Engineer - Responsible AI who is passionate about building customer-facing AI services with scalable and sustainable architecture and implementation and with high performance, low latency, and high availability. In this role, you will work with a unique group of talented engineers, scientists, and product managers to build the industry's best Responsible AI services. You will own the design of new AI services and integration with existing services such as Azure AI Content Safety, Azure OpenAI Service, Azure AI Studio, and more.
Responsibilities
- Build customer-facing AI services with scalable and sustainable architecture.
- Ensure high performance, low latency, and high availability of AI services.
- Design new AI services and integrate them with existing services.
- Collaborate with engineers, scientists, and product managers.
Requirements
- Experience in software engineering and development.
- Strong understanding of AI technologies and services.
- Ability to design scalable and sustainable software architectures.
- Experience with performance optimization and low latency solutions.
Nice-to-haves
- Familiarity with Azure AI services.
- Experience in Responsible AI practices.
- Knowledge of multimodal content processing.
Benefits
- Flexible work arrangement with hybrid model.
- Opportunity to work in a collaborative and innovative environment.
