Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales

Amazon is hiring a Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales in Boston, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this sales role Works on AI ●●●○: the daily work is on AI products, without building the model.
The listed pay starts 10% above the typical sales posting on Level.
Tools and skills the posting cites include AWS, cloud architecture and agentic AI.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Senior Cloud Architect designing cloud and agentic AI solutions for healthcare and life sciences clients on AWS.

AWS

cloud-architectureagentic-aipharmaceuticalsclinical-operationsai-transformation

The Amazon Web Services Healthcare and Life Sciences (HCLS) Professional Services (ProServe) team is seeking an experienced Clinical ProServe Cloud Architect (PCA) to join our team in Europe. In this role, you'll work directly with pharmaceutical and life sciences customers, including senior technology and business leaders, to understand their business objectives and translate them into innovative cloud and AI solutions that drive meaningful impact in pharmaceutical innovation.

As a PCA, you'll be responsible for creating and leading solution designs to address customer business outcomes (CBO) in the pharmaceutical domain. Operating as the conduit between ProServe Account Executives and our Shared Delivery Teams (SDT), you'll ensure proposed solutions are realistic, achievable, and optimized to maximize CBOs. You'll lead cloud modernization and AI transformation initiatives, designing scalable AWS solutions that address complex clinical development challenges including clinical trial management, clinical data operations, regulatory submissions, and study lifecycle optimization from protocol design through database lock.

Your experience in designing technical solutions within the pharmaceutical sector will equip you to architect complex, scalable, and secure solutions tailored to meet specific customer needs, translating technical concepts into business value. Your success will be linked to impacting SOW signings and successful solution implementations that achieve CBOs while exceeding customer satisfaction (CSAT) expectations.

As a trusted technical advisor, you'll provide guidance on industry trends, emerging technologies, and agentic AI applications specific to pharma. You'll collaborate with expert teams including our Gen AI Innovation Center, Industry Sales, and Product teams to bring leading-edge innovation to customers. As a technical SME, you'll share knowledge within the organization through mentoring, training, and creating reusable tools such as demos, accelerators, and white papers.

10044

Key job responsibilities
- Partner with pharmaceutical customers to design agentic AI applications spanning R&D, clinical operations, regulatory, supply chain, and commercial functions—leveraging deep domain knowledge of industry workflows, data standards (e.g., CDISC, GxP), and enterprise systems to drive end-to-end digital transformation.
- Design scalable, secure AWS solutions that deliver measurable customer business outcomes across the clinical development lifecycle.
- Provide technical guidance during sales and implementation phases, focusing on pharmaceutical domain challenges including clinical data management, regulatory submissions (eCTD), study conduct optimization, and GxP compliance.
- Collaborate with Account Executives and Delivery Teams to ensure successful solution design.
- Work with AWS experts and external partners to accelerate innovation.
- Share knowledge through coaching, demos, accelerators, and technical documentation.

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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.

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.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and 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.

Basic qualifications

- 5+ years of cloud architecture and solution implementation experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Experience positioning, articulating business value, and selling enterprise cloud architecture and solutions to customer executives and technical stakeholders, including developing proposals, leading technical conversations, and driving adoption of cloud services aligned to customer business outcomes
- Experience designing and solutioning AI/ML, generative AI, enterprise-scale data platform, and/or agentic AI solutions in enterprise environments
- Experience in the pharmaceutical, life sciences, or payer industry, with a working understanding of key business domains (e.g., R&D, clinical development, regulatory, manufacturing, supply chain, or commercial) and familiarity with industry data standards, compliance frameworks (GxP, HIPAA, GDPR), and enterprise platforms

Preferred qualifications

- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience designing and solutioning agentic AI architectures in enterprise environments, including multi-agent orchestration, autonomous workflows, and AI-driven decision systems that address complex business processes such as clinical data operations, regulatory workflows, or supply chain optimization
- Experience building and maintaining executive-level relationships with pharmaceutical or payer technology leaders, translating complex cloud modernization and AI transformation architectures into business value propositions and strategic roadmaps that drive customer business outcomes (CBOs), SOW signings, and measurable customer satisfaction

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

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, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, MA, Boston - 153,600.00 - 207,800.00 USD annually
USA, NC, Raleigh - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

How we rate this

Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS) , AWSI Sales, AWSI Sales is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $154k-$208k a year.
The role is based in US, MA, Boston.
The job was posted on May 13, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ArchitectureAgentic AIPharmaceuticalsClinical OperationsAI TransformationAWS

Also common in sales jobs at this level

AI agents LLM Google Cloud Azure Python RAG

Pay

This job starts at: $154k
Typical sales job: $139k

This posting starts 10% above the typical sales job. See sales jobs

Questions you could be asked

Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where pharmaceuticals was part of your work. What did you do?
Tell me about a project where clinical operations was part of your work. What did you do?
Tell me about a project where ai transformation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Cloud Architecture, Agentic AI, Pharmaceuticals, Clinical Operations, and AI Transformation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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