AI-Driven Cloud Architect for Life Sciences R&D & Clinical

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 183,000 - 247,000

Full time

22 hours ago
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Job summary

Amazon Web Services, Inc. is seeking an experienced Specialist ProServe Cloud Architect (PCA) for the Healthcare and Life Sciences practice.

You will lead AI-driven data and context layer architectures across R&D and clinical development, advising senior executives and shaping go-to-market strategies with scalable accelerators. The role spans data foundations, ontology orchestration, and Agentic AI in regulated Life Sciences environments, collaborating with ProServe teams and partners to deliver

Qualifications

  • 7+ years in Healthcare/Life Sciences tech
  • 7+ years with Data & AI technologies (AI/ML, GenAI, analytics)
  • Bachelor's degree or equivalent
  • 7+ years in Life Sciences R&D/Clinical Development data contexts
  • 7+ years in professional services business development/pre-sales for R&D data platforms

Responsibilities

  • Design AI-driven data and context layer architectures for R&D and clinical development
  • Counsel executives on AI-driven transformations across research and clinical development
  • Develop GTM strategies and accelerators for data-centric offerings
  • Collaborate with AWS teams to create solutions and demos for Life Sciences data readiness
  • Lead large opportunities from ideation to sales closure across R&D and clinical domains
  • Advise on regulatory and compliance considerations in R&D data architectures

Skills

R&D AI
GenAI
Architectural design
Pre-sales
Stakeholder advising

Education

Bachelor's degree in computer science or related field

Tools

AWS services (Bedrock, SageMaker)

Job description

Amazon Web Services, Inc. is seeking an experienced Specialist ProServe Cloud Architect (PCA) for the Healthcare and Life Sciences practice.

You will lead AI-driven data and context layer architectures across R&D and clinical development, advising senior executives and shaping go-to-market strategies with scalable accelerators. The role spans data foundations, ontology orchestration, and Agentic AI in regulated Life Sciences environments, collaborating with ProServe teams and partners to deliver

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