Pr. Proserve Cloud Architect , Healthcare and Life Sciences

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

About the team

About AWS:

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

10044 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 or equivalent
• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

…