Sr. Solutions Architect, Life Sciences

About the role

As part of the AWS Applied AI Solutions organization, we aim to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through the delivery of intuitive and differentiated technology solutions that solve enduring business challenges.

Responsibilities

• Own and influence product, technical, and GTM strategy for the next wave of AI-driven clinical trial solutions where AI moves from evidence generation, analytics to autonomous action.
• Build and ship production-ready clinical data systems, not just prototypes, and understand the hard business/technical choices required to close the gap between proof-of-concept and GxP-validated deployment at scale.
• Interact with pharmaceutical companies, CROs, and biotech customers directly to understand their hardest clinical operations problems, help them architect and implement scalable AI-powered solutions (often via proof-of-concepts), and feed those insights back to shape the product features that developers and scientists will build on.
• Drive customer implementations, define new solution patterns, and create reusable architectures for clinical trials.

Requirements

We are looking for a Senior Solutions Architect with deep expertise in clinical trials and life sciences data to enable new capabilities for our customers through AI-powered clinical trial solutions. This is not a traditional life sciences consulting role—you will own and influence product, technical and GTM strategy for the next wave of AI-driven clinical trial solutions where AI moves from evidence generation, analytics to autonomous action.

Qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred Qualifications

• Experience building, deploying, or supporting production-ready AI systems for clinical data transformation, medical coding automation, or regulatory document generation, operational monitoring at enterprise scale
• Experience with clinical data standards (CDISC SDTM, ADaM, Define-XML, ODM) and regulatory submission frameworks (eCTD, SENDIG) in GxP-validated environments (21 CFR Part 11, ICH E6/E8)
• Experience designing and operationalizing validation frameworks for AI systems in regulated industries—including IQ/OQ/PQ, computer system validation, and production monitoring for clinical AI
• Hands-on experience with foundation models, agentic AI frameworks, retrieval-augmented generation, and evaluation methodologies applied to clinical trial data workflows
• Experience with electronic data capture (EDC) platforms, CTMS, or clinical trial operational systems at pharma, biotech, or CRO organizations

Benefits

Amazon 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.