Pr. Proserve Cloud Architect , Healthcare and Life Sciences

Key job responsibilities

• Serving as the practice's dedicated specialist and deep domain expert in R&D — including Amazon Bio Discovery 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

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.

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• 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…