Member of Technical Staff - Software Engineer, Health AI

Overview

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 into transformative products for millions of users across Microsoft Copilot, our enterprise partners and beyond.

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.

Responsibilities

• Collaborate with AI researchers, clinicians, product managers, and designers to bring world-class AI health products 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.
• Collaborate with Applied AI & clinicians to evaluate AI features ensuring they remain effective and safe throughout their lifecycle.
• 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.

Qualifications

Required Qualifications:

• 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, Typescript, Swift, Kotlin.
• Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, Applied AI.
• Experience using AI coding agents to build production software, while maintaining strong engineering judgement and high standards for safety, quality, and maintainability.
• Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products.
• Experience building products from 0 to 1 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.

Preferred Qualifications

• Experience in healthcare technology, particularly with regulated medical devices or similar high-trust, safety-critical products.
• 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.