Principal Architect – AI & Wireless Technologies
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 6, 2026. Nokia scores A on the Alion truth index.
As the Principal Architect - AI & Wireless Technologies, you will be at the forefront of defining and implementing technologies for Wireless Network evolution. Your role is pivotal in ensuring the network's readiness for emerging services and technologies. You will drive the adoption of AI/ML, simplify architecture, and enhance operational efficiency, all while maintaining strong collaboration with other network architecture teams.
The candidate will be hands on technologist with agentic AI, model building/tuning skill sets as well as wireless technology background
Own and drive Technology definition, including target architecture, design, and implementation.Scope includes Agentic/AI core, System & software architectures targeting upcoming network technologies with domain specific AI models for Core, RAN, Physical AI, ISAC, NTN.
Identify technology gaps, priorities, align engineering, product teams, partner with Core, RAN, transport, edge, and data center teams for coherent end-to-end network design.
Represent Architecture in technical forums, presenting high-quality artifacts.
Evaluate new technologies and set future technology capability directions.
Guide and create end-to-end system designs, considering customer needs and business objectives.
You have:
University or college degree in either Computer Science, Networks, Telecommunications, or related field with 12+ or more years of hands-on experience.
Building & tuning AI models (ML, LLM, SLM), its’ optimizations for performance, size
Hands on design, development skills with C, C++, Python, AI assisted SW / system development
Experience in telecom network architecture, its’ standards/specifications
Strong systems engineering skills, focusing on performance, resiliency, scalability, security, and operability.
Technical leadership experience in complex, cross-functional technical programs and senior-level architecture decision-making.
Working knowledge of AI/ML applications for network automation and operational simplification.
It would be nice if you also had:
Experience with cloud-native network functions, Kubernetes, and distributed/edge cloud architectures.
Excellent communication and collaboration skills, with the ability to influence and mentor others.
Hands-on experience with observability and operations tooling for carrier-grade systems.
Standards participation, patents, or publications in mobile core networking and automation.