The Amazon Web Services (AWS) Professional Services (ProServe) team is seeking an experienced technology leader to serve as a Specialist ProServe Cloud Architect (PCA) within our Healthcare and Life Sciences (HCLS) practice. This is a role requiring deep expertise in R&D, spanning both Research (drug discovery, translational science) and Clinical Development (clinical trials, regulatory submissions) - and the ability to flex across both domains. The role focuses on data and context layer architectures that unlock scientific and clinical data for AI-native workflows, powered by AI, GenAI, and Agentic AI.
In this position, you'll serve as both a deep domain expert and a hands-on solution architect, counseling senior HCLS executives on designing AI-driven transformation programs that span the research-to-clinical development continuum - e.g., data foundations, ontology-orchestration architectures, and AI data-readiness strategies. You'll develop innovative go-to-market (GTM) strategies and perspectives on how data and context layers, knowledge graphs, and Agentic AI unlock value from early discovery through clinical development, creating repeatable solutions and accelerators that scale across Life Sciences customers.
You'll collaborate with colleagues across the ProServe HCLS team and external Partners, working backwards from customer outcomes to design fit-for-purpose solutions and programs across R&D.
This role requires expertise in AI, GenAI, and Agentic AI applied to Life Sciences R&D / Clinical Development, paired with experience in professional services and business development. The ideal candidate can flex seamlessly between research and clinical contexts - understanding both the science and the regulated data landscape. You think big, innovate, focus on customer objectives, execute at high standards, and maintain continuous curiosity.
Key job responsibilities
- Serving as the practice's dedicated specialist and deep domain expert in R&D - including Amazon BioDiscovery and AI-native research - designing and delivering solution architectures that solve complex customer problems across both domains
- Developing innovative GTM strategies, offerings, and accelerators for the data and context layer space spanning research and clinical - identifying whitespace, shaping new service offerings, and positioning the practice to capture emerging demand across the R&D-to-clinical continuum
- Counseling HCLS executive customers to explore the art of the possible with AI-driven transformation across Research and Clinical Development, pushing the frontiers of innovation to achieve breakthrough outcomes from discovery through late-stage trials
- Collaborating with internal teams to innovate AWS solutions, services, accelerators, and demos that address evolving research and clinical data-readiness customer needs
- Designing complex, scalable, and secure data foundation, ontology-orchestration, and Agentic AI architectures on AWS to achieve customer business outcomes (CBOs) across Research and Clinical Development
- Driving large, complex opportunities - spanning research, clinical, or both - from ideation, through vision building and scoping, solution architecture development, all the way to sales closure - owning technical qualification, de-risking delivery, and participating in the Sales-to-Delivery (S2D) motion
- Acting as a trusted advisor and thought leader to customers and internal colleagues on industry trends in R&D and clinical AI, data and context architectures, knowledge representation, and emerging technologies across the Life Sciences landscape
- Leading senior engagement on the practice's highest-potential opportunities - including AI-native drug discovery programs, clinical data platform modernization, data foundation builds, and enterprise ontology-orchestration initiatives - across a portfolio of strategic Life Sciences accounts
BASIC QUALIFICATIONS
- 7+ years of solving problems with technology in the Healthcare/Life Sciences Industry experience
- 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Bachelor's degree
- 7+ years of working with Data & AI related technologies in Life Sciences R&D and Clinical Development contexts - including knowledge graphs, ontologies, data lakes, AI/ML, GenAI, and/or semantic data integration
- 7+ years of experience driving professional services business development, opportunity shaping, or technical pre-sales for R&D and/or clinical data platforms, AI/ML, or digital transformation programs in pharma/biotech
PREFERRED QUALIFICATIONS
- Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop)
- Significant experience in shaping large, complex AI and data transformation programs in pharma/biotech Research & Clinical Development - from ideation and prospecting, through scoping and solution architecture development, to sales closure - with specific exposure to use cases such as target identification, biological foundation models, real-world evidence, or research data harmonization
- Deep understanding of AWS services relevant to R&D workloads - e.g., Bedrock, AgentCore, SageMaker, Neptune, Amazon BioDiscovery
- Deep knowledge and familiarity with regulatory and compliance frameworks relevant to R&D data (e.g., GxP, 21 CFR Part 11, HIPAA, GDPR) as well as data types and standards (e.g., FHIR)
- Excellent communication skills, with the ability to translate complex R&D data architecture concepts for both scientific leaders and C-suite executives as part of pre-sales motion
- Deep familiarity with R&D technology ecosystems and vendors (e.g. Benchling, Palantir Foundry, Veeva Vault, Databricks for Life Sciences) and how AWS complements or displaces them
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Diego - 182,800.00 - 247,300.00 USD annually
USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually
USA, MA, Boston - 182,800.00 - 247,300.00 USD annually
USA, NJ, Jersey City - 201,000.00 - 272,000.00 USD annually
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
USA, TX, Austin - 182,800.00 - 247,300.00 USD annually
USA, VA, Arlington - 182,800.00 - 247,300.00 USD annually
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually
