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

Amazon is hiring a Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS), AWSI Sales for a remote role open to applicants in Switzerland. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this sales role is Works on AI ●●●○: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions AWS, Agentic AI and AI automation among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.

AI in this role

Seeking a Senior ProServe Cloud Architect to design innovative cloud and AI solutions for pharmaceutical and life sciences customers on AWS.

awsagentic-ai

ai-automationcloud-architectureai-solutionspharmaceutical-domainsolution-design

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.

Key job responsibilities
Design scalable, secure AWS solutions that deliver measurable customer business outcomes across HCLS 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.

Partner with customers on industry trends and emerging technologies, particularly agentic AI applications in clinical trial automation, clinical data standardization (CDISC SDTM/ADaM), electronic data capture (EDC), and clinical trial management systems (CTMS).

Collaborate with Account Executives and Delivery Teams to ensure successful solution implementation.

Work with AWS experts and external partners to accelerate innovation.

Share knowledge through coaching, demos, accelerators, and technical documentation.

Basic qualifications

- 5+ years of cloud architecture, designing and implementing cloud solutions.
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
- 4+ years of deep technical experience in designing, solutioning, and building data platforms, AI/ML and /or GenAI solutions to achieve customer business outcomes
- Experience managing and delivering large-scale enterprise IT projects, including hands-on experience, across Data, AI/ML, Application modernizations, or GenAI
- Experience in presenting technical solutions to customer stakeholders and executive, including ability to translate complex technical architectures into business value propositions and strategic roadmaps that align cloud modernization initiatives with clinical development transformation objectives.

Preferred qualifications

- Experience architecting enterprise-scale clinical/commercial data platforms with proficiency in multi-agent orchestration frameworks, clinical data integration patterns (API-based, batch ETL, real-time streaming), and cloud-native data lake/lakehouse architectures, demonstrating ability to articulate how agentic AI transforms clinical operations through intelligent automation of study planning, site activation, patient recruitment optimization, clinical monitoring, and regulatory submission workflows.
- Achieved AWS Professional level certifications (AWS Certified Solutions Architect - Professional, and AWS Certified Generative AI Developer – Professional or AWS Certified Machine Learning – Specialty) preferred.
- Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR).
- Expertise in performance optimization and cost management for cloud environments.
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences as part of pre-sales motion.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

How we rate this

Senior ProServe Cloud Architect, Healthcare and Life Sciences (HCLS), 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 is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in CH, Bern and is marked remote.
The job was posted on June 16, 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

AI AutomationCloud ArchitectureAI SolutionsPharmaceutical DomainSolution DesignAWSAgentic AI

Also common in sales jobs at this level

AI agents LLM Azure Google Cloud Python RAG

Pay

Typical sales job: $138k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where ai solutions was part of your work. What did you do?
Tell me about a project where pharmaceutical domain was part of your work. What did you do?
Tell me about a project where solution design was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Automation, Cloud Architecture, AI Solutions, Pharmaceutical Domain, and Solution Design. 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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