Drimva

Amazon

Solutions Architect III, Salesforce Account Team

$177K–$239K

Santa Clara, CA +1 · Full-time · Posted Oct 27, 2026

Location
Santa Clara, CA
San Francisco, CA
Experience
5+ years in technology domains; 3+ years in application/infrastructure design, implementation, or consulting; 8+ years in IT development or implementation/consulting; preferred: 3+ years in technology domains and 2+ years of practical machine learning.

About the job

Designs AI/ML and cloud architectures for customers, advises on AI strategy, and supports adoption through technical discussions and reusable content.

What you'll do

  • Design secure, scalable, cost-optimized AI/ML solutions across the model lifecycle and advise on generative AI, foundation models, and classical ML approaches.
  • Advise customer leadership on AI strategy, trade-offs, risks, and responsible-AI considerations; lead technical solution discussions.
  • Develop workshops, labs, presentations, blog posts, and reference architectures, and collaborate with internal teams to accelerate adoption.

What they ask for

  • 5+ years of experience in specific 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 in applications and infrastructures.
  • 8+ years of IT development or implementation/consulting in the software or Internet industries.
  • Experience with ML and LLM fundamentals or the full software development lifecycle, plus experience with at least one major cloud platform and its AI/ML services.

Nice to have

  • Experience architecting or operating solutions built on AWS.
  • 2+ years of practical machine learning experience.

Pay

176,600.00 - 239,000.00 USD annually (base salary); 176,600.00 - 239,000.00 USD annually (base salary)

Tools

SageMaker, Bedrock, AWS

AI focus

Design AI/ML solutions; advise on generative AI, foundation models, classical ML, prompt engineering, RAG, fine-tuning, and custom model training; address model lifecycles, MLOps, and responsible AI.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)