At Lyzr AI, we believe the era of rigid, Palantir-style semantic layers is ending. Those systems were built for humans—centralized warehouses, heavy ontologies, endless modeling.

Agents don’t need that.

We’re building a Fluid Intelligence Platform—where data stays close to the source, architectures stay composable, and autonomous agents can reason, plan, and act in real enterprise environments.

If you’re an Enterprise Data Architect who’s tired of over-engineered platforms and excited by agent-native systems, this role is for you.

What you’ll actually do

• Work directly with enterprise customers to understand the workflows they want to automate—and translate them into agent + data architectures on Lyzr

• Map real-world data sources (SQL, NoSQL, APIs, SaaS tools, documents, file systems) and define how agents should access them—without forcing a heavy central semantic layer

• Design agentic data pipelines and mini data marts that are lightweight, governable, and fit-for-purpose

• Use semantic and graph-based models only where they add value—helping agents reason over entities and relationships for specific use cases

• Partner with product, agent engineering, and customer teams to deliver clean, secure, production-ready architectures

Who this is for

• 8–12+ years in data architecture/data engineering/analytics architecture in complex enterprise environments

• Strong hands-on experience with structured + unstructured data, APIs, SaaS integrations, SQL & NoSQL

• Solid understanding of semantic modelling and practical knowledge of graph/knowledge graph concepts

• Comfortable being customer-facing—you can whiteboard, run discovery sessions, and explain complex ideas simply

• You think in systems, prefer composable architectures over big-bang platforms, and are excited about agentic AI