AI Solution Architect
Role description
Role Summary
We are looking for an experienced AI Solution Architect to lead the design and implementation of enterprise-scale AI solutions. The ideal candidate will have strong expertise in LLMs, RAG architectures, MLOps, time-series analytics, multimodal AI, and large-scale data platform design .
Key Responsibilities
- Define and own end-to-end AI and architecture for business-critical solutions.
- Design LLM, RAG, Agentic AI, and multimodal AI solutions.
- Architect scalable time-series analytics platforms for TB-scale measurement and sensor data.
- Design modern lakehouse architectures using Parquet, Delta Lake, columnar storage, and partitioning strategies.
- Establish MLOps target-state architectures , deployment pipelines, monitoring and governance.
- Lead architecture reviews, security assessments, and compliance discussions with review boards.
- Design and manage metadata and signal catalog frameworks.
- Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.
Required Skills
- Retrieval-Augmented Generation (RAG)
- Time-Series Data Modeling & Analytics
- Lakehouse Architecture (Delta Lake, Parquet)
- Security & Architecture Review Processes
Domain Expertise
- TB-scale measurement and telemetry data
- Time-series databases and storage optimization
- Signal and metadata cataloging (A2L, DBC, ARXML)
- Industrial, automotive, IoT, or engineering data platforms
We are accepting only local candidates from Sweden.
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