Drimva

Amazon

Principal AI Scientist, Telco Tech, AWS Industries

$183K–$284K

Bellevue, WA +3 · Principal · Full-time · Posted Jul 14, 2026

Location
Bellevue, WA
New York, NY
Dallas, TX
Cupertino, CA
Experience
10+ years in specified technology domains.
Education
Bachelor's degree in computer science, engineering, mathematics or equivalent.

About the job

Leads AI research and development for telecommunications networks, delivering scalable AWS solutions and co-developing AI-native networking capabilities with major operators.

What you'll do

  • Lead AI model research and development from design and training through evaluation, optimization, and production deployment on AWS.
  • Develop network ontologies, knowledge graphs, and AI methods for network data and operations.
  • Co-develop AI-native 6G solutions with telecommunications operators and represent AWS in industry forums and standards bodies.

What they ask for

  • 10+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
  • Bachelor's degree in computer science, engineering, mathematics or equivalent.
  • Experience developing technology solutions and evangelising end-to-end technology roadmaps guiding IT transformations toward cloud computing.
  • Experience communicating with technical and non-technical audiences, including C-level, through training, workshops, or publications.

Nice to have

  • Knowledge of distributed systems design and implementation, large scale automation and workflow management, or database design and implementation.
  • Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud.

Pay

210,200.00 - 284,300.00 USD annually (base salary); 201,000.00 - 272,000.00 USD annually (base salary); 182,800.00 - 247,300.00 USD annually (base salary); 182,800.00 - 247,300.00 USD annually (base salary)

Tools

AWS, graph neural networks (GNNs), foundation models, transformer architectures, knowledge graphs

AI focus

Build AI models, network ontologies, and privacy-preserving distributed training approaches for telecommunications network reasoning, optimization, autonomous operations, and AI-native 6G.

Model-written summary · the original posting is authoritative

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