About The Position

This role is responsible for defining the end-to-end AI RAN architectural vision and strategy, including key layers, interfaces, and evolution steps. The Chief Architect will establish a technology roadmap for foundational capabilities required for AI-enabled RAN autonomy and lead strategic decisions impacting platform direction, aligning architecture with portfolio competitiveness and operational outcomes. This position also involves influencing portfolio optimization by identifying opportunities to simplify platforms and standardize where appropriate, while maintaining differentiation. Collaboration with senior leaders across engineering and product domains is crucial for aligning execution, de-risking key bets, and ensuring architectural decisions translate into implementable plans.

Requirements

  • Deep expertise in wireless and/or RAN system architecture, including end-to-end network considerations and operational constraints.
  • Proven record of setting technical direction at organizational or company scale and influencing executive stakeholders.
  • Strong systems architecture skills across performance, reliability, security, cost, and operability for large-scale distributed systems.
  • Demonstrated understanding of AI/ML systems and how to operationalize them (data pipelines, model lifecycle, inference/training placement, observability, and governance).
  • Ability to lead ambiguous problem spaces and translate early-stage concepts into crisp architecture and execution roadmaps.

Responsibilities

  • Define the end-to-end AI RAN architectural vision and strategy, including key layers, interfaces, and evolution steps.
  • Establish a technology roadmap that addresses foundational capabilities (data, models, compute placement, automation loops) required for AI-enabled RAN autonomy.
  • Lead strategic decisions that impact platform direction, aligning architecture with portfolio competitiveness and operational outcomes.
  • Influence portfolio optimization by identifying opportunities to simplify platforms and standardize where appropriate, while maintaining differentiation.
  • Partner with senior leaders across engineering and product domains to align execution, de-risk key bets, and ensure architectural decisions translate into implementable plans.
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