Drimva

Amazon

Principal Solutions Architect, AGS Automotive & Manufacturing

$183K–$272K

Seattle, WA +4 · Principal · Full-time · Posted Oct 2, 2026

Location
Seattle, WA
Atlanta, GA
New York, NY
Irvine, CA
Dallas, TX
Experience
15+ years in specified technology domains.
Education
Bachelor's degree in computer science, engineering, mathematics or equivalent.

About the job

Leads technical strategy and architecture for AWS automotive and manufacturing customers, guiding cloud adoption across industrial workloads and serving as a trusted technical advisor.

What you'll do

  • Own technical relationships with key accounts and develop technical strategies aligned with customer business goals.
  • Design and review secure, scalable cloud solutions, lead proofs of concept, and connect enterprise IT with operational technology.
  • Create industry guidance and reference architectures, influence AWS service roadmaps, and mentor other Solutions Architects.

What they ask for

  • 15+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
  • Experience developing technology solutions and end-to-end roadmaps for cloud transformation.
  • Bachelor's degree in computer science, engineering, mathematics or equivalent.
  • Experience communicating with technical and non-technical audiences, including C-level stakeholders; working knowledge of at least two listed domains: IoT/edge computing, data analytics/data lakes, AI/ML, HPC, DevOps/CI-CD, or application modernization.

Nice to have

  • Understanding of OT concepts and IT/OT convergence, and familiarity with Industry 4.0 concepts.
  • Hands-on experience with AWS services such as IoT Core, IoT Greengrass, SageMaker, S3, Glue, Lake Formation, EKS/ECS, Step Functions, Kinesis, or Outposts.

Pay

USD 182,800.00 - 247,300.00 annually (base salary; Irvine, Atlanta, Dallas, Seattle); USD 201,000.00 - 272,000.00 annually (base salary; New York)

Tools

IoT, edge computing, HPC, AI/ML, SCADA, PLC, OPC-UA, MQTT

AI focus

Advises on customer AI/ML workloads and architectures, among other industrial cloud use cases.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)