Member of Technical Staff - Software Engineering, Health AI

At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.

For this role the Microsoft Health AI team is looking for senior software engineers to help us build and deliver core health product solutions. Across all our hires, it’s important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design, we will remain a lean team (albeit within a much larger organization), and as such you will need to be action orientated, self-sufficient and actively help to cultivate and promote a positive team culture.

Microsoft’s wider 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.

*Due to the festive break we will be in touch with candidates in January regarding next steps. 

Required/Minimum Qualifications

• Bachelor's or Higher Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Strong experience in building full-stack technical software products.
• Demonstrated expertise in at least one key area of the software development stack, including but not limited to: frontend engineering, backend architecture design, data pipeline management, or distributed systems.
• Experience working in cross functional teams and building integrations across diverse product stacks.

Additional or Preferred Qualifications

• Demonstrated full-stack experience in delivering scaled software products
• Experience in healthcare technology particularly with regulated medical devices
• Passionate about conversational AI and its deployment.
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

• Collaborate cross-functionally with product, data, and clinical teams to align on technical priorities and clarify scopes.
• Work independently across a wide range of the stack, integrating backend data sources and storage with our inference systems and front-end client endpoints.
• Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
• Balance trade-offs to deliver high-impact solutions in dynamic environments.
• Ensure resilience, maintainability, and security above all else.
• Build the hiring pipelines, onboarding frameworks, and software development best practices to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.