Software Development Engineer II, AWS Healthcare AI

Amazon is hiring a Software Development Engineer II, AWS Healthcare AI in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include AWS, Machine learning and Cloud Computing.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and develop generative and agentic AI-powered healthcare solutions and cloud services within the AWS Healthcare AI team.

AWSMachine learningCloud Computing

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

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 that serve millions globally. 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
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

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.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- Experience with distributed computing, programs and systems
- 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

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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 - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer II, AWS Healthcare AI at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer II, AWS Healthcare AI is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Seattle.
The job was posted on August 3, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AWSMachine learningCloud Computing

Also common in software engineer jobs at this level

Python AI agents Kubernetes Generative AI TypeScript RAG

Pay

This job starts at: $144k
Typical software engineer job: $167k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

What's a project where you used AWS hands-on?
Walk me through how you've used Machine learning in your day-to-day work.
What are the limits of Cloud Computing that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AWS, Machine learning, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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