Sr. Solutions Architect, Life Sciences
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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.
- Interact with pharmaceutical companies, CROs, and biotech customers directly to understand their hardest clinical operations problems.
- Help customers architect and implement scalable AI-powered solutions (often via proof-of-concepts).
- Feed insights back to shape the product features that developers and scientists will build on.
- Drive customer implementations with account teams, applied scientists, and product teams.
- Define new solution patterns.
- Create reusable architectures for clinical trials.
Benefits
- 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
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
