MathCo - Principal Architect - Ontology Engineering

MathCo; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

MathCo is seeking an Ontology Architect to design ontologies, taxonomies, and knowledge graphs that ground enterprise AI and GenAI initiatives in a single, trustworthy semantic foundation. You will bridge data architecture and applied AI, collaborating with domain teams and AI/ML groups to deliver scalable semantic models.

You will own end-to-end ontology architecture for pharma and consumer-packaged goods domains, shaping ingestions, storage, governance, and integration with LLM-based

Qualifications

• Direct experience integrating a knowledge graph or semantic layer into an LLM/GenAI application.
• Led at least one full-lifecycle knowledge graph or enterprise ontology project.
• 14+ years in knowledge/data architecture and enterprise data platform design.
• Strong cloud data platform experience (Databricks/Spark, Snowflake).
• Experience with graph/semantic platforms and RDF/OWL/SPARQL or property-graph modeling.
• Experience with US/global enterprise clients in consulting or professional services.
• Excellent communication to guide technical and business stakeholders.

Responsibilities

• Build base ontologies for pharma and CPG domains to take to market.
• Own end-to-end architecture of ontologies, knowledge graphs, and semantic layers.
• Design and implement knowledge graph backbone and pipelines.
• Architect ingestion pipelines, storage, and governance for production graphs.
• Collaborate with client SMEs to model domains and align definitions.
• Present architecture decisions to client leadership and translate to business value.

Skills

Knowledge Architecture

Knowledge Graph / Ontology Design

GenAI / LLM grounding

RAG pipelines / semantic search

Communication skills

Tools

Neo4j

Stardog

GraphDB

Amazon Neptune

Databricks/Spark

Snowflake

Airflow

Job description

About MathCo

TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted for data driven decision-making by leading Fortune 500 and Global 2000 enterprises.

Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem solving through its innovative hybrid model.

NucliOS, MathCo's proprietary platform with prebuilt workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work.

We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to 'Leave a Mark'.

About The Role

As enterprises scale their AI and GenAI capabilities, the organizations that win are the ones who can give machines a reliable, structured understanding of their business.

We're hiring an Ontology Architect to build that understanding from the ground up - designing the ontologies, taxonomies, and knowledge graphs that turn fragmented enterprise data into a coherent, machine-readable model of the business.

You'll work at the seam between data architecture and applied AI, partnering with domain data owners and AI/ML teams to ensure every downstream system - from analytics dashboards to LLM-powered agents - is grounded in a single, trustworthy semantic foundation.

What You'll Do

• Build base ontologies for a domain in pharma and CPG in collaboration with domain SMEs that we can take to market as an offering.
• Own the end-to-end architecture of enterprise ontologies, knowledge graphs, and semantic/context layers for enterprise clients.
• Build the knowledge graph backbone.
• Architect ingestion pipelines, storage design, and governance for production knowledge graphs, whether triple-store or property-graph based, so the graph stays accurate and scalable as the business grows.
• Partner with client stakeholders and SMEs to model business domains and drive consensus on shared definitions across teams.
• Architect the technical implementation on graph platforms (e.g., Neo4j, GraphDB, Stardog) and integrate with enterprise data warehouses/lakehouses.
• Design and oversee integration of the knowledge/context layer into GenAI applications (RAG pipelines, LLM grounding, semantic search, agent tooling).
• Guide and mentor delivery teams and junior architects through implementation, ensuring adherence to modeling standards and best practices.
• Collaborate with data engineering teams to build and maintain the pipelines that keep the graph/ontology current and trustworthy.
• Present architecture decisions and trade-offs directly to client leadership; translate technical modeling choices into business value.

What You'll Bring

• Direct experience integrating a knowledge graph, semantic layer, or context layer into an LLM/GenAI application (RAG, GraphRAG, semantic search, or agent-based systems).
• Hands-on experience leading at least one full-lifecycle knowledge graph or enterprise ontology implementation - not just a pilot or POC.
• 14+ years in Knowledge Architecture, data architecture/engineering, and enterprise data platform design (Data Vault 2.0, Kimball, canonical data models), with a strong foundation in cloud data platforms (Databricks/Spark, Snowflake, or equivalent) and orchestration tools (Airflow or similar).
• Proficiency with one or more graph/semantic platforms (Neo4j, Stardog, GraphDB, Amazon Neptune, or similar) and familiarity with RDF/OWL/SPARQL or property-graph modeling.
• Experience working directly with U.S. or global enterprise clients, ideally in a consulting or professional services environment.
• Excellent communication skills - able to guide both technical teams and non-technical business stakeholders through complex modeling decisions.

Nice To Have

• Experience with data quality and constraint validation across graph structures.
• Exposure to graph algorithms, graph ML (GNNs), or using knowledge graphs to strengthen LLM grounding via GraphRAG.

Being a Mathemagician

• Understand & embody MathCo's culture and way of working.
• Demonstrate an ownership mindset to drive results, striving for excellence.
• Engage actively and contribute to initiatives fostering company growth.
• Support diversity and understanding different perspectives.