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. (via careerplan.io/jobs/31547356-data-and-semantic-architect-at-ericsson-ab)
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.
