[Hiring] Specialist ProServe Cloud Architect @Amazon

Role Description

The Amazon Web Services (AWS) Professional Services (ProServe) team is seeking an experienced technology leader to serve as a Specialist ProServe Cloud Architect (PCA) within our Healthcare and Life Sciences (HCLS) practice. This role requires deep expertise in Supply Chain & Manufacturing (SC&MFG) and the ability to flex across both domains. The focus is on Industrial IoT (IIoT), data foundation, and intelligent-automation architectures that unlock manufacturing and supply chain data for AI-native workflows.

In this position, you'll serve as both a deep domain expert and a hands-on solution architect, counseling senior executives at leading pharmaceutical and life sciences companies on designing AI-driven transformation programs. Key responsibilities include:

• Serving as the practice's dedicated specialist and deep domain expert in Supply Chain & Manufacturing.
• Developing innovative GTM strategies, offerings, and accelerators for the SC&MFG space.
• Counseling HCLS executive customers on AI-driven transformation across Supply Chain & Manufacturing.
• Collaborating with internal teams to innovate AWS solutions and services.
• Designing complex, scalable, and secure architectures on AWS.
• Driving large, complex opportunities from ideation to sales closure.
• Acting as a trusted advisor and thought leader on industry trends.
• Leading senior engagement on the practice's highest-potential SC&MFG opportunities.

Qualifications

• 8+ years of cloud architecture and solution implementation experience.
• 7+ years of solving complex business problems with technology in the Healthcare/Life Sciences or Manufacturing/Supply Chain industry.
• 7+ years of working with Data & AI related technologies, including AI/ML, GenAI, IoT/IIoT, and/or Edge Computing.
• Bachelor's degree in a relevant field.
• 7+ years of experience driving professional services business development in pharma/biotech/life sciences.

Requirements

• Master's degree or equivalent in a quantitative field.
• Significant experience in shaping large, complex AI and data transformation programs.
• Deep understanding of AWS services relevant to SC&MFG workloads.
• Deep knowledge of regulatory and compliance frameworks relevant to pharma manufacturing and supply chain.
• Excellent communication skills for translating complex concepts.
• Deep familiarity with SC&MFG technology ecosystems and vendors.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription).
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).