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), Generative AI, Virtual Agents

Valuable to have skills : NA

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

We are looking for an experienced Technical Lead to lead Context & Ontology, a core engineering team responsible for building the enterprise intelligence layer that powers AI agents across the platform. In this role, you will define the enterprise knowledge graph, design scalable ontology models, and build the context management framework that enables AI systems to understand business entities and relationships across multiple domains such as Finance, Legal, Procurement, and HR.

As the technical leader for the pod, you will drive architecture decisions, mentor a team of engineers,



collaborate with cross-functional teams, and establish governance for enterprise knowledge models that serve as the foundation for intelligent AI applications.

Roles & Responsibilities:

Lead the architecture, design, and implementation of the enterprise Knowledge Graph (KG) and ontology framework that powers AI-driven enterprise applications.
Design and maintain scalable knowledge graph schemas, including entity models, relationships, metadata, and business attributes across enterprise domains such as Finance, Legal, Procurement, and Human Resources.
Own the development and evolution of the ContextLoader and OntologyRegistry services to ensure consistent context management and knowledge retrieval across the platform.
Provide technical leadership and mentorship to a team of Knowledge Graph Engineers, Ontology Modelers, and Search & Retrieval Engineers.
Define and govern ontology standards, schema evolution processes, and best pra

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