Principal AI Scientist, Telco Tech, AWS Industries

Amazon
Dallas, TX, USA2026-07-14ONSITE

About the job

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.

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.

Qualifications

Minimum

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing

- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

Preferred

- Knowledge of distributed systems design and implementation or equivalent

- Knowledge of large scale automation and workflow management or equivalent

- Knowledge of database design and implementation or equivalent

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers

- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud