Sr. Solutions Architect , Wwps - Hcls - Medical Technology

Amazon Amazon · Big Tech · Boston, MA · Solutions Architect

Solutions Architect role focused on designing and implementing AWS cloud solutions for Healthcare & Life Sciences customers, with a significant emphasis on AI/ML and Generative AI use cases, including prototyping and architectural guidance.

What you'd actually do

  1. Work closely with IT and business stakeholders at Medical Device and Life Sciences organizations to understand their unique requirements and challenges.
  2. Demonstrate a deep understanding of the customer's business model, industry trends, and technical landscape.
  3. Architect and design AI first, scalable, secure, and cost-effective AWS solutions that address the customer's specific needs.
  4. Guide the customer through the cloud migration process, ensuring a smooth transition and adoption of AWS services.
  5. Collaborate with the customer's technical teams to implement, configure, and optimize the AWS infrastructure.

Skills

Required

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience
  • 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Nice to have

  • 5+ years of infrastructure architecture, database architecture and networking experience
  • Knowledge of AWS services, market segments, customer base and industry verticals
  • Experience working with end user or developer communities
  • Knowledge of software development tools and methodologies

What the JD emphasized

  • AI first

Other signals

  • design scalable, flexible, and resilient cloud architectures
  • explore use cases across Artificial Intelligence, Machine Learning, Generative AI
  • architect and design AI first, scalable, secure, and cost-effective AWS solutions
  • building a Generative AI prototype that shows how a life sciences customer could accelerate drug discovery