MathCo - Principal Architect - Ontology Engineering in Bangalore, भारत

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 https://jobeax.com/link/klkBA9TTuej1laNV in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem solving through its innovative hybrid https://jobeax.com/link/m0BVs906kQT89NYx, MathCo's proprietary platform with prebuilt workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower https://jobeax.com/link/LiWvP1ct5yIFoysM our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to https://jobeax.com/link/rrJrI5qnhyRHEsV1 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 https://jobeax.com/link/1ZrIy0wwgwYbGen7'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 https://jobeax.com/link/muaVYoA9oiUKJZHd'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 https://jobeax.com/link/Tf9GHBYVXr2bua9K 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 https://jobeax.com/link/LSjysKZf5WMzgXLy 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 https://jobeax.com/link/CXm4YsTxFVP3mJBR 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 https://jobeax.com/link/3Q0KcTwFzOLnmMY2 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. (ref:hirist.tech)