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Socket.dev is seeking a Specialist ProServe Cloud Architect in the Healthcare and Life Sciences practice to lead AI-driven transformation across manufacturing and supply chain domains.
You will advise senior executives on IIoT, data foundation, digital twins, and agentic AI while framing fit-for-purpose architectures and GTM strategies for regulatory environments and end-to-end supply chains.
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 is a role requiring deep expertise in Supply Chain & Manufacturing (SC&MFG) - spanning both Manufacturing (manufacturing execution, process control, quality systems, CMC orchestration) and Supply Chain (planning, logistics, procurement, distribution) - and the ability to flex across both domains. The role focuses on Industrial IoT (IIoT), data foundation, and intelligent-automation architectures that unlock manufacturing and supply chain data for AI-native workflows, powered by AI, GenAI, and Agentic AI.
In this position, you'll serve as both a deep domain expert and a hands-on solution architect, counseling senior executives at the world's leading pharmaceutical and life sciences companies on designing AI-driven transformation programs that span the manufacturing-to-supply-chain continuum - e.g., IIoT and edge data architectures, manufacturing data lake and digital twin solutions, MES/MOM modernization, CMC orchestration platforms, and agentic supply chain planning. You'll develop innovative go-to-market (GTM) strategies and perspectives on how AI, GenAI, and Agentic AI unlock value from the shop floor to the distribution network, creating repeatable solutions and accelerators that scale across HCLS customers.
You’ll collaborate with colleagues across the ProServe HCLS team and external Partners, working backwards from customer outcomes to design fit-for-purpose solutions and programs across SC&MFG.
This role requires expertise in AI, GenAI, and Agentic AI applied to pharmaceutical and life sciences Supply Chain & Manufacturing, paired with experience in professional services and business development. The ideal candidate can flex seamlessly between manufacturing operations and supply chain contexts - understanding both the regulated manufacturing environment (cGMP, GxP) and the planning-to-fulfillment data landscape. You think big, innovate, focus on customer objectives, execute at high standards, and maintain continuous curiosity.