Expert - Data Foundation for Agentic Workflows
Teknik, data och digitalt · Data, AI och analys · Data engineering · Artificiell intelligens · Datavetenskap
I korthet
Ericsson is seeking an Expert Data Foundation Architect to design and build a governed Data Platform in Stockholm, Sweden. This role will create the data backbone for RAN Development, enabling AI-driven decisions, advanced analytics, and autonomous agentic workflows across the business.
Ansvarsområden
- Own the end-to-end architecture of the AI Data Platform, translating strategy into technical design.
- Design for an AI-first future, architecting data products, semantic layers, and knowledge representations.
- Embed governance, lineage, and data quality to make data trustworthy and reusable.
- Lead the definition of a source-agnostic framework from various data sources.
- Set requirements and patterns for realization teams, ensuring platform coherence.
- Engage stakeholders to champion the vision and connect platform value to business outcomes.
- Incorporate emerging data and AI technologies to maintain a leading edge.
Krav
- Deep understanding of modern data ecosystems (cloud data platforms, lakes/warehouses, streaming, data products, integration patterns).
- AI and analytics fluency, including architecting data for machine learning, generative AI, and agentic workflows (semantic layers, embeddings, knowledge graphs).
- Strong grasp of data governance and security (cataloging, lineage, data quality, classification, access control).
- Ability to bridge business and technology, translating strategy into architecture and communicating vision.
- Systems-thinking mindset, comfortable with architectural trade-offs and setting direction.
- Curiosity for AI, autonomous systems, and intelligent networks.
Förmåner
- Outstanding opportunity to use skills and imagination.
- Build solutions for tough problems.
- Challenging work in a team of diverse innovators.
- Opportunity to craft what comes next.
#Data Platform#AI#Agentic Workflows#Telecom#Machine Learning#Generative AI#Data Governance#Cloud#Architecture