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

About the role

Amazon Web Services is seeking 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 senior leadership. 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 mentor and develop other technical professionals.

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
• 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)