Sr Manager, Applied Science, Healthcare AI

The Healthcare AI organization in AWS is seeking a Sr. Manager of Applied Science to lead science and data teams working on innovative AI-powered healthcare solutions. We are developing innovative products that leverage generative and agentic AI to transform clinical and administrative workflows for healthcare providers. Our aim is to improve patient care, enhance operational efficiency, and deliver exceptional value to our customers. You will lead teams of applied scientists and medical clinicians, working on transformative healthcare solutions powered by cloud computing and artificial intelligence. This role offers an opportunity to work at the forefront of applied AI/ML and distributed systems, building new products and services from the ground up. Our team builds on our existing successful healthcare business, which serves major providers and payers in the US. You’ll be instrumental in creating solutions that address complex challenges in areas such as clinical documentation, health data analytics, and accurate billing, ultimately contributing to better health outcomes for individuals and populations. Key Responsibilities Building and mentoring teams of Applied Scientists, ML Engineers, and Medical Clinicians. Setting technical direction and research strategy aligned with business goals. Driving innovation in medical administration reasoning systems, AI agent design, and medical coding. Collaborating with cross-functional teams to translate research into production. Managing project portfolios and resource allocation. As a Sr. Manager, Applied Science, you will be responsible for building and leading a world-class team that pushes the boundaries of computer vision, machine learning, and artificial intelligence. In this role, you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will balance hands‑on technical leadership with people‑management responsibilities, ensuring your team delivers cutting‑edge solutions while growing professionally. The role requires someone who can think strategically about business problems while diving deep into technical details when needed. A Day in the Life Inclusive Team Culture: Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee‑led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance: Our team puts a high value on work‑life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life‑long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better‑rounded contributor. Basic Qualifications PhD in Computer Science, Machine Learning, or related field. 7+ years in applied research, with 3+ years of people‑management experience. Track record of leading successful research projects and delivering business impact. Strong publication record in top‑tier conferences/journals (CVPR, NeurIPS, ICML, etc.). Experience managing technical teams in computer vision, ML, or AI. Demonstrated ability to translate complex technical concepts to various audiences. Experience with research program management and setting technical strategy. Preferred Qualifications Experience in designing and implementing healthcare AI systems. Demonstrated experience in AI agent architecture design, including decision‑making frameworks and behavioral modeling. Experience with medical coding, medical NLPs, and medical informatics. Experience implementing reinforcement learning for autonomous agent behavior. Experience in professional software development. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. #J-18808-Ljbffr