Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS), AWSI Sales

Das ist der Job

Work with AWS experts and external partners to accelerate innovation.

Darum lohnt es sich

The Amazon Web Services Healthcare and Life Sciences (HCLS) Professional Services (ProServe) team is seeking an experienced Clinical ProServe Cloud Architect (PCA) to join our team in Europe. Collaborate with Account Executives and Delivery Teams to ensure successful solution implementation.

Experience managing and delivering large-scale enterprise IT projects, including hands‑on experience across Data, AI/ML, Application modernizations, or GenAI.

Experience in presenting technical solutions to customer stakeholders and executive, including ability to translate complex technical architectures into business value propositions and strategic roadmaps that align cloud modernization initiatives with clinical development transformation objectives.

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 job responsibilities Design scalable, secure AWS solutions that deliver measurable customer business outcomes across the HCLS 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.

Partner with customers on industry trends and emerging technologies, particularly agentic AI applications in clinical trial automation, clinical data standardization (CDISC SDTM/ADaM), electronic data capture (EDC), and clinical trial management systems (CTMS). Share knowledge through coaching, demos, accelerators, and technical documentation.

Basic Qualifications 5+ years of cloud architecture, designing and implementing cloud solutions.

Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience. 4+ years of deep technical experience in designing, solutioning, and building data platforms, AI/ML and /or GenAI solutions to achieve customer business outcomes.

Preferred Qualifications Experience architecting enterprise‑scale clinical/commercial data platforms with proficiency in multi‑agent orchestration frameworks, clinical data integration patterns (API‑based, batch ETL, real‑time streaming), and cloud‑native data lake/lakehouse architectures, demonstrating ability to articulate how agentic AI transforms clinical operations through intelligent automation of study planning, site activation, patient recruitment optimization, clinical monitoring, and regulatory submission workflows.

Achieved AWS Professional level certifications (AWS Certified Solutions Architect - Professional, and AWS Certified Generative AI Developer – Professional or AWS Certified Machine Learning – Specialty) preferred.

Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies. Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Expertise in performance optimization and cost management for cloud environments.

Strong communication skills with the ability to explain technical concepts to both technical and non‑technical audiences as part of pre‑sales motion. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.

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