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

About the team

AWS offers a diverse range of experiences and values work-life balance. It fosters an inclusive team culture and provides mentorship and career growth opportunities.

Key job 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.

About the role

The Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) role requires 5+ years of cloud architecture and solution implementation experience, a bachelor's degree in Computer Science, Engineering, or a related field, and experience positioning, articulating business value, and selling enterprise cloud architecture and solutions to customer executives and technical stakeholders. A working understanding of key business domains in the pharmaceutical, life sciences, or payer industry, along with familiarity with industry data standards, compliance frameworks (GxP, HIPAA, GDPR), and enterprise platforms, is also required.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of cloud architecture and solution implementation experience
• 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)
• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Knowledge of security and compliance standards including HIPAA and GDPR
• Experience in performance optimization and cost management for cloud environments
• Experience communicating technical concepts to diverse audiences in pre-sales 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