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

Amazon Web Services is seeking a Senior Solutions Architect to support healthcare and life sciences customers with analytics modernization, data governance, and AI/ML adoption. The role leads technical strategy, designs enterprise data and analytics architectures, develops governance frameworks, mentors technical professionals, and produces thought leadership content.

Responsibilities:

• Leading complex, multi-stakeholder technical engagements focused on enterprise analytics strategy, data governance, and AI/ML — presenting decisions to leaders multiple tiers above your level
• Defining data and analytics reference architectures and reusable patterns for healthcare use cases (enterprise data platforms, data lakes/lakehouses, data mesh, real-world evidence, population health analytics, clinical & operational reporting, value-based care analytics)
• Designing data governance frameworks for healthcare organizations — including data quality, lineage, cataloging, access controls, and compliance in regulated environments (HIPAA, HITRUST, state privacy laws)
• Bridging the gap between data strategy and AI/ML — ensuring customers have the data foundations, pipelines, and governance needed to operationalize AI/ML and generative AI at scale
• 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

Requirements:

• • 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• • 5+ years of design, implementation, or consulting in applications and infrastructures 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
• • 5+ years of infrastructure architecture, database architecture and networking experience
• • Experience with AWS analytics and data services (Amazon Redshift, Athena, Glue, Lake Formation, DataZone, QuickSight, EMR, OpenSearch)
• • Experience with generative AI, RAG, or LLM-based systems — particularly how data quality and governance impact AI outcomes
• • Experience presenting to and influencing VP/CTO/CDO/CMIO-level decision makers