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:

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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)

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