AI-Powered Life Sciences Cloud Architect

Amazon Web Services (AWS)

San Diego (CA)

On-site

USD 183,000 - 247,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

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

The role focuses on data and context layer architectures that support AI-native workflows, powered by AI, GenAI and Agentic AI across Research and Clinical Development. The candidate will act as a deep domain expert and hands-on architect, advising senior executives, shaping GTM strategies, and guiding complex AI data platforms from discovery through

Qualifications

  • 7+ years in Healthcare/Life Sciences with data & AI exp.
  • Experience driving professional services business development or pre-sales in R&D/clinical data platforms.
  • Deep knowledge of AWS services relevant to R&D workloads (Bedrock, SageMaker, Neptune).

Responsibilities

  • Designing AI-driven solution architectures across R&D and Clinical Development.
  • Counseling senior HCLS executives on transformation programs leveraging AI and data readiness.
  • Developing GTM strategies and accelerators for data and context layer space across research and clinical.

Skills

R&D domain expert
AI/GenAI/Agentic AI
Solution architecture
Data & AI technologies
Professional services

Education

Bachelor's degree in CS or related field
Master's degree in quantitative field

Tools

Bedrock
SageMaker
Neptune
Knowledge graphs

Job description

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

The role focuses on data and context layer architectures that support AI-native workflows, powered by AI, GenAI and Agentic AI across Research and Clinical Development. The candidate will act as a deep domain expert and hands-on architect, advising senior executives, shaping GTM strategies, and guiding complex AI data platforms from discovery through

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