Amazon
Sr. Solutions Architect , WWPS - HCLS - Life Sciences
$154K–$239K
Santa Monica, CA +2 · Senior · Full-time · Posted Sep 11, 2026
- Location
- Santa Monica, CA
Irvine, CA
San Francisco, CA - Experience
- 8+ years in technology domains; 3+ years in application and infrastructure design, implementation, or consulting; 10+ years in IT development or implementation/consulting in software or Internet industries.
About the job
Designs and guides adoption of secure, scalable AWS cloud architectures for healthcare and life sciences customers, including migration and AI-focused solutions.
What you'll do
- Understand customer business and technical needs, then architect cost-effective AWS solutions.
- Guide cloud migrations and collaborate with customer teams to implement, configure, and optimize AWS infrastructure.
- Build customer relationships and share best practices through training, support, and optimization guidance.
What they ask for
- 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
- 3+ years of experience in design, implementation, or consulting for applications and infrastructures.
- 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
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 with end-user or developer communities; or knowledge of software development tools and methodologies.
Pay
USD 153,600.00 - 207,800.00 annually (base salary); USD 176,600.00 - 239,000.00 annually (base salary); USD 153,600.00 - 207,800.00 annually (base salary)
Tools
AWS, Artificial Intelligence, Machine Learning, Generative AI, Serverless, Container-based architectures, Analytics, Security
AI focus
Design AI-first AWS solutions and explore AI, Machine Learning, and Generative AI use cases; build prototypes such as a Generative AI drug-discovery demonstration and reference architectures for ML pipelines.
Model-written summary · the original posting is authoritative