Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare

About the role

Amazon Web Services is looking for a Senior Solutions Architect (SA III) to accelerate our healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. As a Specialist Solutions Architect within AWS, you will lead technical strategy and execution across a portfolio of healthcare and life sciences customers — from providers and payers to med-tech and bio-pharma — driving AI/ML adoption from experimentation through production.

Responsibilities

• Leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level
• Defining AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases (agentic AI, clinical decision support, prior authorization, health data platforms, medical imaging, genomics)
• Handling complex business and technology problems — defining and validating requirements, leading end-to-end design, and representing benefits and challenges of each approach
• Influencing stakeholders and partners across the organization to drive best practices and force-multiply team impact
• Mentoring and developing other technical professionals across the HCLS organization
• Producing thought leadership content (blogs, reference architectures, re:Invent sessions, workshops) that simplifies and scales the team's impact

Basic Qualifications

• 6+ years of design, implementation, or consulting in applications and infrastructures experience
• 5+ years of IT development or implementation/consulting in the software or Internet industries experience
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• 3+ years of healthcare or life sciences industry experience in a technical capacity

Preferred Qualifications

• Experience writing technical articles, speaking at technology conferences, and contributing to open source
• Experience with healthcare data standards (FHIR, HL7, DICOM) and regulatory compliance (HIPAA, FDA, GxP)
• Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, HealthLake, HealthOmics, Amazon Q, AgentCore)

Skills & attributes

• Passionate about helping healthcare organizations achieve their mission of better patient health through responsible AI
• Designing production-grade AI/ML architectures in regulated environments (HIPAA, FDA, GxP)
• Simplifying and driving the use of best practices across technical communities
• Executive engagement and communication — trusted to present to and influence senior leadership; whiteboard sessions, EBCs, and executive presentations
• Healthcare AI/ML — architecting, building, or deploying production clinical AI systems (GenAI, agentic workflows, NLP, computer vision, or data platforms in healthcare)
• Technical leadership — independently designing long-term solutions, taking the lead on initiatives, and delivering without close supervision
• Influence and force multiplication — driving adoption of best practices, mentoring others, and scaling impact beyond individual contribution
• Ability to travel 30%

Benefits

• 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
• Parental leave

Pay

• USA, CA, San Francisco - $176,600.00 - $239,000.00 USD annually
• USA, DC, Washington - $153,600.00 - $207,800.00 USD annually
• USA, GA, Atlanta - $153,600.00 - $207,800.00 USD annually
• USA, MA, Boston - $153,600.00 - $207,800.00 USD annually
• USA, MN, Minneapolis - $153,600.00 - $207,800.00 USD annually
• USA, NY, New York - $169,000.00 - $228,600.00 USD annually
• USA, TX, Austin - $153,600.00 - $207,800.00 USD annually
• USA, WA, SEATTLE - $153,600.00 - $207,800.00 USD annually

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.

Schedule & work culture

Our team puts a high value on work-life balance. We aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

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 projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

This response is AI-generated, for reference only.