Principal ProServe Cloud Architect, Healthcare and Life Sciences; HCLS , AWSI Sales, AWSI Sales
Listed on 2026-07-02
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IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Overview
The Amazon Web Services Healthcare and Life Sciences (HCLS) Professional Services (Pro Serve) team is seeking an experienced Clinical Pro Serve Cloud Architect (PCA) to join our team in Europe. In this role, you'll work directly with pharmaceutical and life sciences customers, including senior technology and business leaders, to understand their business objectives and translate them into innovative cloud and AI solutions that drive meaningful impact in pharmaceutical innovation.
Key Responsibilities- Partner with pharmaceutical customers to design agentic AI applications spanning R&D, clinical operations, regulatory, supply chain, and commercial functions—leveraging deep domain knowledge of industry workflows, data standards (e.g., CDISC, GxP), and enterprise systems to drive end‑to‑end digital transformation.
- Design scalable, secure AWS solutions that deliver measurable customer business outcomes across the clinical development lifecycle.
- Provide technical guidance during sales and implementation phases, focusing on pharmaceutical domain challenges including clinical data management, regulatory submissions (eCTD), study conduct optimization, and GxP compliance.
- Collaborate with Account Executives and Delivery Teams to ensure successful solution design.
- Work with AWS experts and external partners to accelerate innovation.
- Share knowledge through coaching, demos, accelerators, and technical documentation.
- 8+ years of cloud architecture and solution implementation experience.
- Bachelor's degree in Computer Science, Math, or a related field.
- Experience positioning, articulating business value, and selling enterprise cloud architecture and solutions to customer executives and technical stakeholders, including developing proposals, leading technical conversations, and driving adoption of cloud services aligned to customer business outcomes.
- Experience designing and solutioning AI/ML, generative AI, enterprise‑scale data platform, and/or agentic AI solutions in enterprise environments.
- Experience in the pharmaceutical, life sciences, or payer industry, with a working understanding of key business domains (e.g., R&D, clinical development, regulatory, manufacturing, supply chain, or commercial) and familiarity with industry data standards, compliance frameworks (GxP, HIPAA, GDPR), and enterprise platforms.
- Advanced technology degree or AWS Professional level certification.
- Knowledge of security and compliance standards including HIPAA and GDPR.
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Experience communicating technical concepts to diverse audiences in pre‑sales environments.
- Experience in performance optimization and cost management for cloud environments.
- Experience designing and solutioning agentic AI architectures in enterprise environments, including multi‑agent orchestration, autonomous workflows, and AI‑driven decision systems that address complex business processes such as clinical data operations, regulatory workflows, or supply chain optimization.
- Experience building and maintaining executive‑level relationships with pharmaceutical or payer technology leaders, translating complex cloud modernization and AI transformation architectures into business value propositions and strategic roadmaps that drive customer business outcomes (CBOs), SOW signings, and measurable customer satisfaction.
- USA, IL, Chicago – – USD annually
- USA, MA, Boston – – USD annually
- USA, NC, Raleigh – – USD annually
- USA, NJ, Jersey City – – USD annually
- USA, NY, New York – – USD annually
- USA, TX, Dallas – – USD annually
- USA, VA, Arlington – – USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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