Pharma Cloud Architect: AI & Modernization Solutions

Amazon

New York (NY)

On-site

USD 169,000 - 228,600

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Restricted stock units (RSUs)

Job summary

Amazon seeks a ProServe Cloud Architect to design scalable, secure AWS solutions for HCLS customers in pharma and life sciences. You will lead solution designs that translate business objectives into cloud-based outcomes, working with sales and delivery teams to optimize study lifecycles, data operations, and regulatory submissions.

You will mentor peers, share reusable tools, and stay ahead of industry trends in AI, security, and governance, while contributing to SOWs and customer success

Qualifications

  • Bachelor's degree required and 5+ years of cloud architecture and solution implementation experience.
  • Experience selling enterprise cloud architecture to executives and technical stakeholders.
  • Experience designing AI/ML and agentic AI solutions in enterprise environments.

Responsibilities

  • Design scalable, secure AWS solutions delivering measurable business outcomes in pharma.
  • Provide technical guidance during sales and implementation, focusing on regulatory and data challenges.
  • Partner with customers on trends and agentic AI applications in clinical trial automation.
  • Collaborate with Account Executives and Delivery Teams to ensure successful deliveries.
  • Mentor teams, create demos, accelerators, and reusable technical content.

Skills

Cloud architecture
Solution design
AI/ML
Generative AI
Enterprise data
Pharma domain knowledge
Pre-sales
Executive communication

Education

Bachelor's degree in CS/Engineering/Mathematics

Tools

AWS

Job description

Amazon seeks a ProServe Cloud Architect to design scalable, secure AWS solutions for HCLS customers in pharma and life sciences. You will lead solution designs that translate business objectives into cloud-based outcomes, working with sales and delivery teams to optimize study lifecycles, data operations, and regulatory submissions.

You will mentor peers, share reusable tools, and stay ahead of industry trends in AI, security, and governance, while contributing to SOWs and customer success

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