Principal AI Scientist, Telco Tech, AWS Industries
Amazon
- Location
- Dallas, TX
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- Posted
- Jul 14, 2026
Skills
About this role
Description: Amazon Web Services (AWS) is seeking a world-class Principal AI Scientist to lead cutting-edge research and development at the intersection of artificial intelligence and telecommunications network infrastructure. In this role, you will pioneer AI-native approaches to network modeling, reasoning, and optimization — shaping how the world’s largest telecommunications operators harness AI to build, operate, and evolve next-generation networks. You will serve as the technical thought leader for network-domain AI science within AWS’s telecommunications practice — defining strategy, driving research, and delivering production-ready solutions that unlock transformative business value for Tier-1 operators. This includes developing novel network models, ontologies, and AI architectures purpose-built for the telecommunications domain, and translating them into scalable offerings on the AWS platform. This is a high-visibility role requiring deep hands-on expertise in building, training, and evaluating AI/ML models at scale, combined with mastery of telecommunications network architectures, protocols, and data systems. You will drive AI-Native 6G co-development with customers and represent AWS as a thought leader in global industry forums. Key job responsibilities • Lead end-to-end research and development of AI models for telecommunications networks — from architecture design, training methodology, and evaluation through optimization and production deployment on AWS. • Design and develop network ontologies, knowledge graphs, and semantic representations that enable AI systems to reason over complex, multi-vendor, multi-domain network topologies. • Develop and apply graph neural networks (GNNs), foundation models, transformer architectures, and other advanced AI techniques to network telemetry, configuration, and operational data. • Drive AI-Native 6G co-development with Tier-1 telecommunications operators — translating their network AI challenges into research programs, proof-of-concept engagements, and scalable production solutions. • Represent AWS as a technical thought leader in global industry forums and standards bodies — shaping the direction of AI for networks, publishing research, and positioning AWS as the platform of choice. • Build deep partnerships with AWS Service Teams to integrate network AI capabilities into the broader AWS AI/ML and infrastructure platform. • Author and deliver strategic narratives, science papers, and technical documents for AWS leadership and customer executives. • Design privacy-preserving, distributed model training approaches that enable operators to leverage sensitive network data without centralization. • Collaborate across a multidisciplinary team to support customer engagements, industry co-innovation programs, and developer scaling initiatives. • Mentor and influence a community of Solutions Architects, Field Development Engineers, and partner engineers on AI/ML best practices for telecommunications. A day in the life You start your morning reviewing results from a model training run on network telemetry data. By mid-morning, you’re whiteboarding a novel architecture with AWS service team engineers. After lunch, you join a call with a Tier-1 operator’s CTO to scope a joint research initiative on autonomous network operations. In the afternoon, you draft a section of a strategic narrative for leadership, translating your research into business impact. You end the day reviewing a paper submission for an industry working group — knowing your science is shaping how the world builds 6G networks.
About the team
This role sits within AWS’s Telecommunications practice, working at the frontier of AI-Native networking with Tier-1 global operators. The team co-develops next-generation network AI solutions in partnership with the world’s leading telecommunications companies and industry bodies, spanning network intelligence, autonomous operations,