Project Role : Large Language Model Architect

Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.

Must have skills : Large Language Models (LLMs), Virtual Agents, Generative AI

Positive to have skills : NA
Minimum 15 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:
Pod: Pod 1 - Context Ontology
Reports to: Senior KG / Ontology Engineer (Pod 1 Tech Lead)
Experience: 1215 years
Location: Bangalore / US (flexible)

ROLE OVERVIEW:
The Ontology Modeler does the hardest organizational work in Pod 1 sitting with Finance, Legal, Procurement, HR, and other corporate functions to extract implicit business knowledge and translate it into explicit, consistent ontology schemas.

Roles Responsibilities:
Lead domain engagement sessions with corporate function teams to elicit,



validate, and formalize business concepts as ontology schemas
Translate domain expert knowledge into formal schema definitions
Own the ontology documentation the human-readable catalogue of concepts in each namespace
Manage the concept lifecycle process
Identify and surface implicit conflicts between how different corporate functions represent the same real-world entity
Partner with the data product engineer (Pod 5) on data mapping to ontology concepts

Ideal Profile:
Has done formal knowledge elicitation or ontology modeling work in an enterprise context has enough technical depth to understand graph schema design has worked directly with senior business stakeholders has experience resolving cross-domain semantic conflicts.

Qualification 15 years full time education

📌 Large Language Model Architect (Bengaluru)
🏢 Accenture
📍 Bengaluru