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LARGE LANGUAGE MODEL (LLM) ARCHITECT – AI & KNOWLEDGE GRAPH

Vrinda International

Job Location:

Bengaluru - India

Monthly Salary: ₹ 18 - 22

Experience Required: 8-12years

Posted: 4 September 2026 (Yesterday)

Application Deadline: 2 December 2026

Vacancies: 1 Vacancy

Job Summary

HIRING LARGE LANGUAGE MODEL (LLM) ARCHITECT AI & KNOWLEDGE GRAPH

Location: Bengaluru

Experience: 8-12 years CTC: 23 LPA

Role: Large Language Model Architect / AI & Knowledge Engineer

Level: Team Lead / Consultant

Work Mode: As per project requirements

ROLE OVERVIEW

We are looking for an experienced LLM Architect / AI & Knowledge Engineer to design and implement scalable Generative AI LLM and Knowledge Graph solutions. The ideal candidate should have strong expertise in Snowflake Data Warehouse AI architectures semantic technologies and enterprise-scale data pipelines.

MUST-HAVE SKILLS

5 years of Snowflake Data Warehouse experience

2 years of Knowledge Graph technologies RDF SPARQL LPG SHACL

Knowledge Graph solutions & graph-based ML models

Python with TensorFlow / PyTorch

LLMs Generative AI & Prompt Engineering

NLP and/or Search technologies

AI/LLM data pipelines using Airflow Apache NiFi or similar

Relational Graph & Vector Databases Neo4j Stardog Amazon Neptune

2 years of experience with AWS / Azure / GCP

Strong understanding of scalable data architectures and ML workloads

GOOD TO HAVE

Microsoft Azure Data Services

Data Science experience

Agentic AI / Multi-Agent Systems

Multimodal AI experience

Enterprise AI consulting experience

Client-facing experience and team leadership

KEY RESPONSIBILITIES

Lead the architecture and implementation of LLM and AI solutions

Build Knowledge Graph components and semantic layers

Design scalable data pipelines for AI/LLM applications

Develop and maintain ontologies and knowledge models

Collaborate with engineering research product and client teams

Provide technical guidance and mentorship to junior engineers

Evaluate emerging Generative AI and agentic technologies

Troubleshoot complex data integration and performance challenges

Contribute to architectural and technical decisions across teams

Education: Bachelors degree or equivalent with 15 years of full-time education

Required Skills:

MUST-HAVE SKILLS 5 years of Snowflake Data Warehouse experience 2 years of Knowledge Graph technologies RDF SPARQL LPG SHACL Ontology management schema design & KG curation Knowledge Graph solutions & graph-based ML models Python with TensorFlow / PyTorch LLMs Generative AI & Prompt Engineering NLP and/or Search technologies AI/LLM data pipelines using Airflow Apache NiFi or similar Relational Graph & Vector Databases Neo4j Stardog Amazon Neptune 2 years of experience with AWS / Azure / GCP Strong understanding of scalable data architectures and ML workloads GOOD TO HAVE Microsoft Azure Data Services Data Science experience Agentic AI / Multi-Agent Systems Multimodal AI experience Enterprise AI consulting experience Client-facing experience and team leadership

Required Education:

Bachelors Degree (MBA Preferred)

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