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

Amazon; San Francisco (CA); On-site; USD 210,000 - 284,000; Full time

Job summary

Amazon is seeking a senior AWS Architect for Supply Chain & Manufacturing to lead cloud architectures and AI-enabled transformations across manufacturing and supply chain domains.

You will shape GTM offerings, guide complex solution design, and partner with internal teams to deliver scalable, secure architectures on AWS, driving multimillion-dollar opportunities with executives.

Qualifications

• 8+ years of cloud architecture and solution implementation experience.
• 7+ years solving complex business problems with technology in Healthcare/Life Sciences or Manufacturing/Supply Chain.
• 7+ years working with Data & AI technologies incl AI/ML, GenAI, IoT/IIoT, Edge Computing.
• Bachelor's degree in a quantitative field (CS, engineering, math, etc.).
• 7+ years driving professional services business development or pre-sales for data platforms in pharma/biotech/life sciences.

Responsibilities

• Design and deliver architectures across Manufacturing and Supply Chain on AWS.
• Develop GTM strategies and accelerators for SC&MFG space.
• Counsel customers on AI-driven transformations and industry trends.
• Collaborate with AWS teams to innovate IIoT edge-to-cloud solutions and digital twins.
• Lead high-potential opportunities from ideation to sales closure.

Skills

Cloud architecture

Solution implementation

Data & AI

IIoT / IoT

Digital twin

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

IoT SiteWise

IoT TwinMaker

IoT Greengrass

SageMaker

Bedrock / AI services

Step Functions

Job description

Description

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:

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture – Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth – We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance – We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic 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 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

Preferred Qualifications

• 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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