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
Good 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 practices to ensure consistency and scalability across enterprise applications.
- Design and implement bitemporal versioning strategies for knowledge graph data to support historical tracking, auditing, and future state management.
- Collaborate closely with the Platform Data Engineering team to design robust data ingestion, transformation, and synchronization pipelines.
- Work with business stakeholders and domain experts to translate complex enterprise knowledge into structured semantic models.
- Drive architectural reviews, design discussions, and continuous improvements for graph-based data platforms.
- Ensure high performance, scalability, reliability, and maintainability of the enterprise knowledge platform.
Professional & Technical Skills:
- 12–15 years of experience in software engineering, with significant experience designing enterprise-scale Knowledge Graphs, semantic data models, or ontology-driven platforms.
- Strong expertise in graph data modeling, ontology design principles, and semantic technologies.
- Hands-on experience with graph databases such as Neo4j, Amazon Neptune, TigerGraph, or similar platforms.
- Strong understanding of semantic web standards such as RDF, OWL, SPARQL, or equivalent graph technologies.
- Experience designing enterprise ontologies and collaborating with business domain experts to model complex organizational data.
- Good understanding of vector search, semantic search, retrieval-augmented generation (RAG), and AI-powered information retrieval systems.
- Experience designing scalable data architectures and integrating structured, semi-structured, and unstructured enterprise data sources.
- Strong knowledge of distributed systems, API design, and cloud-native application development.
- Excellent leadership, mentoring, and stakeholder management skills.
- Strong analytical and problem-solving abilities with a passion for building scalable enterprise platforms.
Additional Information:
- Experience: 12–15 years
- Role: Technical Lead – Context & Ontology
- Reporting To: Engineering Manager – Platform Core
- Location: Bangalore (Flexible)
- Experience working with AI/ML platforms, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or enterprise AI solutions will be an added advantage.
- Exposure to cloud platforms such as Azure, AWS, or Google Cloud is preferred.
- Candidates with experience building enterprise semantic platforms, metadata management solutions, or large-scale graph-based applications are highly preferred.
Bengaluru
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.