Sr. Solutions Architect, Life Sciences

Description As part of the AWS Applied AI Solutions organization, we have a vision 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 will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. AWS Senior Solutions Architects are technologists with expert-level domain-specific knowledge. They can solve our customer's most complex problems and scale their knowledge throughout our product/sales organization. Most importantly, they form the bridge between our customers and product teams, bringing first-hand customer experience into our product roadmaps and feature development plans. Key job responsibilities 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. We are looking for someone who has built and shipped production-ready clinical data systems, not just prototypes, and understands the hard business/technical choices required to close the gap between proof-of-concept and GxP-validated deployment at scale. You will 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. Working with account teams, applied scientists, and product teams, you'll drive customer implementations, define new solution patterns, and create reusable architectures for clinical trials. We are part of the AWS Applied AI Solutions at AWS, where we focus on building AI agents for enterprise customers. We work backwards from our customer's most business-critical problems to build global solutions for the industry. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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. Basic 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 - Experience deploying solutions into customer cloud environments including data lake architectures, security/compliance controls, and infrastructure-as-code in AWS (Lake Formation, Step Functions, Bedrock, CDK) - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. 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, WA, Seattle - 153,600.00 - 207,800.00 USD annually