Enterprise Context Architect – AI & Data Architecture

Job Description

We are looking for an experienced Enterprise Context Architect to design and lead enterprise AI architecture, building trusted context layers that connect enterprise data, knowledge graphs, semantic models, and AI/agentic systems.

Key Skills & Responsibilities

• 10+ years of experience in Enterprise, Data, or Solution Architecture.
• Strong understanding of Semantic Layers, Ontologies, and Knowledge Graphs.
• Experience with Graph Databases and AI Context Retrieval.
• Hands-on exposure to AWS, Azure, or Google Cloud Platform data and AI ecosystems.
• Knowledge of RAG, Agentic AI, MCP, and Agent Orchestration.
• Experience with Data Governance, Data Catalog, Lineage, and Access Control.
• Understanding of Vector Databases and Graph + Vector Search.
• Design scalable integrations across enterprise data sources and cloud platforms.
• Provide architectural guidance to data engineering and AI teams.
• Engage with senior stakeholders and lead architecture reviews.

Preferred Skills

• Experience in Data Mesh, Data Fabric, or Data Product Architecture.
• TOGAF or Cloud Architecture certifications.
• Client-facing consulting and solution architecture experience.