Job Title: Large Language Model Architect Snowflake

Location:PAN INDIA

Experience: 5+ Years

Educational Qualification: 15 Years Full-Time Education

Job Summary

We are looking for a strong individual contributor Knowledge Engineer growing into a team lead role. The candidate should be well versed in the full Knowledge Graph development lifecycle and able to formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph solutions.

The role involves hands-on work across the lifecycle from ingestion through modeling, curation, and deployment. The candidate will work with Knowledge Engineering, Generative AI, LLM, and multi-modal models and contribute to ontology design, evaluation, and maintenance.

Key Responsibilities

- Build Knowledge Graph components that contribute to transforming a client's data architecture.
- Design, develop, and implement AI and semantic solutions.
- Ensure solutions integrate cleanly with the broader system.
- Work alongside the project team and delivery leads.
- Build strong working relationships with client counterparts.
- Help assemble supporting evidence for the recommended semantic layer solution.
- Support sales efforts when required.
- Continue developing skills in Data & AI solutions, especially agentic technologies, and share knowledge with the team.
- Lead the development and implementation of architectural strategies for Large Language Models.
- Facilitate knowledge sharing and mentorship within the team.




- Coordinate cross-functional efforts to ensure seamless integration of language models into broader systems.

Must Have Skills

- Snowflake Data Warehouse
- Minimum 5 years of experience in Snowflake Data Warehouse.
- Robust understanding of data warehousing concepts and cloud-based data storage solutions.
- Experience in designing scalable data architectures to support machine learning workloads.
- Familiarity with data processing pipelines and optimization techniques for large datasets.
- Ability to analyze and troubleshoot complex data integration and performance issues.

Good to Have Skills

- Microsoft Azure Data Services
- Data Science
- Knowledge Graph technologies
- RDF, SPARQL, LPG, SHACL
- Schema design, ontology management, and KG curation
- Graph-based ML models
- Relational databases, object stores, graph databases and vector databases
- AWS, Azure, GCP
- Python
- TensorFlow, PyTorch
- Apache NiFi, Airflow
- NLP and Search techniques
- Prompt Engineering
- LLMs for enterprise-scale applications
- Agentic systems

Required Experience

- Minimum 2 years of experience with Knowledge Graph technologies such as RDF, SPARQL, LPG, SHACL.
- Minimum 2 years of experience in schema design, ontology management, and KG curation.




- Minimum 2 years of experience designing and developing KG solutions and graph-based ML models.
- Minimum 1 year of experience with end-to-end data pipeline implementation for AI applications, especially LLMs.
- Minimum 2 years of experience with relational databases, object stores, graph databases such as Stardog, Neo4J, Amazon Neptune, and vector databases.
- 2+ years of hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- 2+ years of experience in Python, with frameworks such as TensorFlow and PyTorch.
- Experience with ETL pipeline tools such as Apache NiFi and Airflow.
- Practical experience with NLP and/or Search techniques.
- Experience with Prompt Engineering and LLMs for enterprise-scale applications.
- Team lead experience.
- Strong collaboration skills across engineering, research, and product teams.
- External client-facing consulting experience.
- Broad experience in diverse ML techniques and agentic systems.

Roles & Responsibilities

- Expected to be an SME and collaborate with and manage the team.
- Responsible for team decisions.
- Engage with multiple teams and contribute to key decisions.
- Provide solutions to problems for the immediate team and across multiple teams.
- Lead LLM architecture development and implementation.
- Support knowledge sharing and mentorship.
- Coordinate cross-functional efforts for seamless integration of LLM solutions.

Education

- Bachelor's degree or equivalent.
- 15 years of full-time education is required.

📌 Large Language Model Architect _ Snowflake (Bengaluru)
🏢 Lecan Solutions
📍 Bengaluru