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 its healthcare AI/ML business as part of the World Wide Public Sector Healthcare & Life Sciences team. This role involves leading complex, multi-stakeholder technical engagements and presenting decisions to leaders multiple tiers above your level. You will define AI/ML reference architectures and reusable patterns for clinical and operational healthcare use cases, handle complex business and technology problems, influence stakeholders and partners, mentor and develop other technical professionals, and produce thought leadership content.

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

• Demonstrated experience in executive engagement and communication — trusted to present to and influence senior leadership; whiteboard sessions, EBCs, and executive presentations
• Experience in 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
• 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)