Data and Semantic Architect
Core
Design and implement an AI-ready data foundation for Radio R&D, transforming complex engineering and field data into reusable data products, semantic knowledge, and trusted AI capabilities.
Role type
Senior Data and Semantic Architect
Builds
Reusable datasets, semantic models, knowledge graphs, MCP interfaces, and AI/ML consumption patterns for Radio R&D
Domain
Telecom / Radio R&D / AI Infrastructure
Deliverable
production ML models
Required skills
Data architecture, distributed data platforms, applied machine learning, Python, SQL, cloud and on-prem platforms, semantic modeling, ontologies, graph technologies, AI agents, MCP patterns
Preferred skills
Experience in R&D and telecom, RAN, or Radio domains
Technologies
Python, SQL, containers, APIs, search, machine learning frameworks
Responsibilities
Drive the applied architecture blueprint for an AI-ready Radio R&D data foundation; Define guidance for connecting product definitions, telecom terminology, and field data into consistent information models; Develop semantic, agent, and MCP patterns including ontologies and validation rules; Translate needs across RTE, BNEW, BCSS, and GFTL into roadmap input; Guide teams in applying the common foundation with domain-specific evaluation and observability.
