Senior Healthcare & Life Sciences Solutions Architect, AI Solutions, Hcls

Amazon Amazon · Big Tech · Chicago, IL · Solutions Architect

This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences customers, with a significant emphasis on AI/ML and Generative AI solutions. The Solutions Architect will build prototypes, proofs of concept, and demonstration assets, educate customers on AWS capabilities, and translate emerging AI/ML technologies into actionable guidance and reference architectures. The role requires a strong understanding of cloud computing, data & AI technologies, and the ability to articulate technical value to various stakeholders.

What you'd actually do

  1. building prototypes, proofs of concept, and demonstration assets that showcase AWS capabilities — particularly in AI/ML, Generative AI, and data analytics — tailored to HCLS use cases.
  2. Staying current on emerging AI/ML technologies and cloud-native patterns is essential, translating that knowledge into actionable guidance, reference architectures, and customer-facing publications such as whitepapers.
  3. In partnership with account management, the Solutions Architect formulates and executes customer engagement strategies that drive meaningful cloud adoption outcomes.
  4. You will help shape and deliver our strategy for global HCLS customers and partners, partnering with some of the world's largest healthcare and life sciences companies to design cloud architectures that address their industry-specific business challenges and accelerate the adoption of AWS services.
  5. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases (e.g., Artificial Intelligence, Machine Learning, Generative AI, Serverless and Container-based architectures, Analytics and Big Data, DevOps, and Security).

Skills

Required

  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Experience in a technical role within a sales organization
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience

Nice to have

  • Experience in IT development or implementation/consulting in the software or Internet industries

What the JD emphasized

  • AI/ML
  • Generative AI
  • HCLS use cases
  • emerging AI/ML technologies
  • cloud-native patterns
  • HIPAA-compliant deployments

Other signals

  • building prototypes
  • proofs of concept
  • demonstration assets
  • AI/ML
  • Generative AI
  • data analytics
  • HCLS use cases
  • emerging AI/ML technologies
  • cloud-native patterns
  • reference architectures
  • ML pipeline