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

Vrinda International

Bengaluru

On-site

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

Full time

4 days ago
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Job summary

Vrinda International is seeking an experienced LLM Architect to design and implement scalable Generative AI, LLM, and Knowledge Graph solutions in Bengaluru. You will lead architecture, build semantic layers, and shape data pipelines across enterprise environments.

The role requires 8–12 years of experience with strong Snowflake, Knowledge Graph, and ML tooling. Collaboration with client teams, cloud platforms, and research groups is expected.

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 technologies
Knowledge Graph and graph-based ML
Python with TensorFlow / PyTorch
LLMs, Generative AI & Prompt Eng.
NLP or Search technologies
AI/LLM data pipelines (Airflow / NiFi)
Relational, Graph & Vector databases
Cloud platforms (AWS / Azure / GCP)
Scalable data architectures & ML workl

Education

Bachelor's degree

Tools

Airflow
Apache NiFi
Neo4j
Stardog
Amazon Neptune
TensorFlow
PyTorch
SPARQL

Job description

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

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

Experience: 8-12 years | CTC: ₹23 LPA

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
  • Data Science experience
  • Agentic AI / Multi-Agent Systems
  • 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: Bachelor's degree or equivalent with 15 years of full-time education

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