Specialist ProServe Cloud Architect (SC & MFG), Amazon Web Services (AWS) Professional Services (ProServe) HCLS

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.

Key job responsibilities

• Serving as the practice's dedicated specialist and deep domain expert in Supply Chain & Manufacturing — spanning smart manufacturing, IIoT, digital twins, CMC orchestration, and supply chain intelligence — designing and delivering solution architectures that solve complex customer problems across both manufacturing and supply chain • Developing innovative GTM strategies, offerings, and accelerators for the SC&MFG space spanning manufacturing and supply chain — identifying whitespace, shaping new service offerings, and positioning the practice to capture emerging demand across the manufacturing-to-supply-chain continuum • Counseling HCLS executive customers to explore the art of the possible with AI-driven transformation across Supply Chain & Manufacturing — pushing the frontiers of innovation in smart manufacturing, autonomous quality, predictive supply planning, and agentic process orchestration to achieve breakthrough operational outcomes • Collaborating with internal teams to innovate AWS solutions, services, accelerators, and demos that address evolving SC&MFG customer needs — including IIoT edge-to-cloud pipelines, manufacturing data foundations, digital twin architectures, and agentic supply chain systems • Designing complex, scalable, and secure architectures on AWS to achieve customer business outcomes (CBOs) across Manufacturing and Supply Chain — from shop-floor data ingestion and process automation through enterprise-wide supply chain visibility and planning optimization • Driving large, complex opportunities — spanning manufacturing, supply chain, or both — from ideation, through vision building and scoping, solution architecture development, all the way to sales closure — owning technical qualification, de-risking delivery, and participating in the Sales-to-Delivery (S2D) motion • Acting as a trusted advisor and thought leader to customers and internal colleagues on industry trends in SC&MFG AI, industrial data architectures, digital twin technology, CMC orchestration, supply chain resilience, and emerging technologies across the HCLS landscape • Leading senior engagement on the practice's highest-potential SC&MFG opportunities — including IIoT data platform builds, digital twin programs, MES/MOM modernization, CMC orchestration initiatives, and agentic supply chain deployments — across a portfolio of strategic Life Sciences accounts

About the team About AWS:

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- 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 experience - 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, IoT/IIoT, and/or Edge Computing experience - Bachelor's degree in computer science, engineering (industrial, manufacturing, chemical, or mechanical), supply chain management, mathematics, statistics, machine learning, or equivalent quantitative field - 7+ years of experience driving professional services business development, opportunity shaping, or technical pre-sales for manufacturing data platforms, supply chain AI/ML, IIoT, or digital transformation programs in pharma/biotech/life sciences

- Master's degree or equivalent in a quantitative field such as industrial engineering, supply chain management, manufacturing systems, data science, statistics, business analytics, economics, or computer science, or experience with AWS Solutions, including IoT SiteWise, IoT TwinMaker, IoT Greengrass - Significant experience in shaping large, complex AI and data transformation programs in pharma/biotech Supply Chain & Manufacturing — from ideation and prospecting, through scoping and solution architecture development, to sales closure — with specific exposure to use cases e.g., IIoT data platform builds, digital twins for manufacturing process optimization, CMC orchestration, autonomous quality systems, predictive maintenance, or agentic supply chain planning - Deep understanding of AWS services relevant to SC&MFG workloads — e.g., IoT SiteWise, IoT TwinMaker, IoT Greengrass, Bedrock, AgentCore, SageMaker, AWS Supply Chain, Step Functions - Deep knowledge and familiarity with regulatory and compliance frameworks relevant to pharma manufacturing and supply chain (e.g., cGMP, GxP, 21 CFR Part 11, FDA/EMA manufacturing regulations, EU Annex 11, DSCSA/serialization) as well as industry data standards (e.g., ISA-95, OPC-UA, BatchML, EPCIS) - Excellent communication skills, with the ability to translate complex SC&MFG data architecture concepts — from shop-floor edge computing to enterprise supply chain intelligence — for both operational leaders and C-suite executives as part of pre-sales motion - Deep familiarity with SC&MFG technology ecosystems and vendors (e.g., Siemens Opcenter/MindSphere, Rockwell Plex/FactoryTalk, SAP S/4HANA Manufacturing/IBP, Blue Yonder, Kinaxis, Körber, OSIsoft/AVEVA PI, Databricks for Manufacturing) and how AWS complements them

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Diego - 182,800.00 - 247,300.00 USD annually USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually USA, MA, Boston - 182,800.00 - 247,300.00 USD annually USA, NJ, Jersey City - 201,000.00 - 272,000.00 USD annually USA, NY, New York - 201,000.00 - 272,000.00 USD annually USA, TX, Austin - 182,800.00 - 247,300.00 USD annually USA, VA, Arlington - 182,800.00 - 247,300.00 USD annually USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually