Sr. SDE, AWS Healthcare AI, Amazon Connect Health

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. At AWS Healthcare AI, we're at the forefront of revolutionizing healthcare delivery through innovative AI solutions that serve millions globally. We're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring challenges in the industry. As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the complete technical lifecycle, from system design, to implementing robust distributed systems, and developing AI-powered healthcare solutions. You'll be working on transformative products that leverage generative and agentic AI to enhance clinical and administrative workflows for healthcare providers. Your work will directly contribute to improving patient care, enhancing operational efficiency, and delivering exceptional value to our customers. Key job responsibilities • Drive the full software development lifecycle, establishing technical strategy and best practices from conception through delivery and maintenance. • Collaborate with cross-functional teams including product managers, applied scientists, other engineers, and cross-functional teams to shape product vision, define technical roadmaps, make critical architectural decisions that align with business objectives, and execute on our product roadmap. • Translate user stories into software designs demonstrating sensible trade-offs between complexity and delivery. • Drive innovation in solving complex healthcare challenges using advanced technologies. • Maintain operational excellence and compliance with healthcare industry standards. • Continuously learn and adapt to new technologies and methodologies in the rapidly evolving field of healthcare AI • Provide technical mentorship, grow team capabilities, and foster a culture of engineering excellence through code reviews, architecture reviews, and knowledge sharing initiatives. We are looking for candidates with strong engineering principles, resourcefulness, a bias for action, superior problem-solving skills, and excellent communication skills. Working effectively within a team environment is essential. A day in the life Join a team that's shaping the future of AI in healthcare. You'll have the opportunity to: • Work on meaningful problems that improve lives globally • Access industry-leading technology and vast resources • Collaborate with world-class researchers and engineers • Contribute to services such as HealthScribe, Comprehend Medical, HealthLake, and more • Be part of an organization that values innovation, technical excellence, and impactful solutions About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Minimum qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with distributed systems and cloud computing platforms. Familiarity with machine learning concepts and their practical applications. Preferred qualifications - Master's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building complex software systems that have been successfully delivered to customers - Experience with AWS services and cloud architecture. Familiarity with AI/ML frameworks and knowledge of natural language processing (NLP) or speech recognition technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually