LARGE LANGUAGE MODEL LLM ARCHITECT AI And KNOWLEDGE GRAPH

VRINDA INTERNATIONAL

Bengaluru

On-site

INR 2,070,000 - 2,530,000

Full time

3 days ago
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Job summary

VRINDA INTERNATIONAL in Bengaluru seeks an experienced LLM Architect / AI & Knowledge Engineer to design scalable Generative AI, LLM, and Knowledge Graph solutions. The role demands expertise in Snowflake, semantic technologies, and enterprise-scale data pipelines.

Ideal candidates will have 8–12 years of experience, strong knowledge of AI architectures, NLP, and graph-based ML, along with experience in cloud platforms (AWS/Azure/GCP) and team leadership.

Qualifications

  • 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

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

Skills

Snowflake Data Warehouse
Knowledge Graph
Python (TensorFlow/PyTorch)
LLMs / Generative AI
Prompt Engineering
NLP / Search
Airflow / NiFi pipelines
Relational, Graph & Vector DBs
Cloud (AWS/Azure/GCP)

Education

Bachelor's degree or equivalent

Tools

Snowflake

Job description

Job Description:

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

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