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 youll serve as both a deep domain expert and a hands-on solution architect counseling senior executives at the worlds 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. Youll 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.

Youll 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 practices 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 practices 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
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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
- Bachelors 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

- Masters 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 Companys 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 CA San Diego - 182800.00 - 247300.00 USD annually
USA CA San Francisco - 210200.00 - 284300.00 USD annually
USA MA Boston - 182800.00 - 247300.00 USD annually
USA NJ Jersey City - 201000.00 - 272000.00 USD annually
USA NY New York - 201000.00 - 272000.00 USD annually
USA TX Austin - 182800.00 - 247300.00 USD annually
USA VA Arlington - 182800.00 - 247300.00 USD annually
USA WA Seattle - 182800.00 - 247300.00 USD annually