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, and driving AI-Native 6G co-development with Tier-1 telecommunications operators.

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