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: Bachelor's degree or equivalent with 15 years of full-time education