Member of Technical Staff - Principal Software Engineer

Member of Technical Staff - Principal Software Engineer

London, United Kingdom

Date posted Oct 27, 2025

Job number MIC
113583

Work site:
Microsoft on-site only

Role type:
Individual Contributor

Profession:
Software Engineering

Discipline:
Software Engineering

Employment type:

Full-Time

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.

We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting‑edge research—like MAI‑DxO ()—into transformative products for millions of users across and Microsoft’s consumer ecosystem.

We’re looking for engineers who are self‑starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast‑paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre.

We’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high‑impact user experiences, we’d love to hear from you.

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, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non‑U.S., country‑specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Collaborate with AI researchers, product managers, and designers to bring a world‑class AI health companion to the world.
• Own the end‑to‑end development of features, from ideation and specification through to deployment and iteration.
• Design, build, and optimize production‑grade code, delivering robust features within a much larger existing architecture.
• Work independently across a wide range of our stack, shipping delightful user experiences.
• Ensure resilience, maintainability, and security above all else.
• Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.

• Bachelor’s or higher degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Type Script, Swift, Kotlin.
• Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.
• Experience collaborating in cross‑functional teams, working through ambiguity to deliver high‑quality products.
• Have 0 to 1 year experience with a bias towards shipping and learning, while balancing a high‑quality bar.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

• 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 and patterns in AI.
• Experience developing and improving evaluation methodologies for assessing quality of LLM‑based products.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect