Software Development Engineer, AWS Healthcare AI

Amazon

DESCRIPTION

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 Software Development Engineer in the AWS Healthcare AI team, you'll play a crucial role in 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.

Join us in revolutionizing healthcare through AI. Apply now to be part of a team that's making a real difference in people's lives while working with technology at a global scale.

Key job responsibilities

  • Design, develop, deploy, and maintain AWS healthcare services using cloud computing and AI technologies
  • Collaborate with cross-functional teams including product managers, applied scientists, and other engineers to define and execute on our product roadmap
  • Implement and optimize machine learning models for healthcare applications
  • Contribute to architectural decisions for scalable, reliable, and efficient cloud services
  • Ensure high standards of code quality through code reviews, automated testing, and continuous integration
  • Participate in the full software development lifecycle, from concept to delivery and maintenance
  • 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

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. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

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.

About the team

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
  • Be part of an organization that values innovation, technical excellence, and impactful solutions

BASIC QUALIFICATIONS

  • Bachelor's degree in Computer Science, Software Engineering, or related technical field
  • 5+ years of professional software development experience
  • Strong proficiency in at least one programming language such as Java, C++, or Python
  • Experience with distributed systems and cloud computing platforms
  • Familiarity with machine learning concepts and their practical applications
  • Knowledge of data structures, algorithms, and software design patterns
  • Experience with agile development methodologies
  • Strong problem-solving skills and attention to detail

PREFERRED QUALIFICATIONS

  • Master's degree in Computer Science, AI, or related field
  • Experience with healthcare data standards (FHIR) or HIPAA compliance
  • Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Knowledge of natural language processing (NLP) or speech recognition technologies
  • Experience with AWS services and cloud architecture
  • Contributions to open-source projects or research publications
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Confirmed 10 hours ago. Posted 2 days ago.

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