Principal AI Scientist, Telco Tech, AWS Industries

About the role

This role leads end-to-end research and development of AI models for telecommunications networks, designing and developing network ontologies, knowledge graphs, and semantic representations. It involves developing novel network models, ontologies, and AI architectures, and translating them into scalable offerings on the AWS platform.

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

• 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.