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

Amazon Amazon · Big Tech · NY +1 · Solutions Architect

Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and implementing cloud architectures, particularly leveraging AI/ML and Generative AI for HCLS customers. The role involves building prototypes, educating clients, developing reference architectures, and acting as a technical liaison. It emphasizes translating emerging AI/ML technologies into practical solutions for drug discovery, patient care, and other HCLS use cases, with a strong focus on HIPAA compliance.

What you'd actually do

  1. 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.
  2. Craft highly scalable, flexible, and resilient cloud architectures, assist organizations in understanding best practices around advanced cloud-based solutions, and help migrate existing workloads to the cloud.
  3. 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).
  4. Build 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.
  5. Educate customers on the AWS value proposition, participate in deep architectural discussions, and conduct enablement sessions that accelerate their path to production.

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

Nice to have

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

What the JD emphasized

  • HIPAA-compliant deployments

Other signals

  • design cloud architectures
  • build prototypes
  • proofs of concept
  • demonstration assets
  • AI/ML
  • Generative AI
  • data analytics
  • HCLS use cases
  • educating customers
  • AWS value proposition
  • architectural discussions
  • enablement sessions
  • emerging AI/ML technologies
  • cloud-native patterns
  • actionable guidance
  • reference architectures
  • customer-facing publications
  • whitepapers
  • build deep relationships
  • senior technical individuals
  • technical liaison
  • service engineering teams
  • best-practice knowledge
  • cloud migration strategy
  • drug discovery
  • architecture review
  • HIPAA-compliant deployments
  • ML pipeline