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

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
• 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%

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)

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

This response is AI-generated, for reference only.