Description
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 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.
- Experience designing and operating agentic AI systems, including tool use, orchestration, evaluation, guardrails, observability, and failure handling.
The typical base pay range for this role across United Kingdom is £93,500.00 – £161,800.00 per year.