Large Language Model Architect

Project Role : Large Language Model Architect


Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.


Must have skills : Snowflake Data Warehouse


Good to have skills : Data Science, Microsoft Azure Data Services
Minimum
5 year(s) of experience is required


Educational Qualification : 15 years full time education


Summary:

AI Powered Tech Talent

You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.
Build Knowledge Graph components that contribute to transforming a client''s data architecture.
Design, develop, and implement AI and semantic solutions ensure their work integrates cleanly with the broader system.
Work alongside the project team and delivery leads.
Build solid working relationships with client counterparts on their workstream.
Help assemble the supporting evidence for the recommended semantic layer solution.
Support Accenture sales efforts when called on.
Keep developing skills in cutting-edge Data AI solutions, especially agentic technologies, and shares with the team.
Bachelor''s degree or equivalent
Bachelor''s degree or equivalent, plus at least 3 of the following:
Minimum 2 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
Minimum 2 years of experience in schema design, ontology management, and KG curation
Minimum 2 years of designing and developing KG solutions and graph-based ML models (functional + technical)
Minimum 1 year of experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration
Minimum 2 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
(no leadership/commercial requirement at this band)
2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
2+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
Practical experience with NLP and/or Search techniques
Prompt engineering, and LLMs for enterprise-scale applications.
You have team lead experience
Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
You have external client-facing consulting experience
Broad experience in diverse ML techniques and agentic systems
As a Large Language Model Architect, your day involves designing and structuring advanced language models capable of understanding and generating human-like text. You will focus on creating neural network configurations that efficiently process vast amounts of unstructured text data. Your role includes envisioning scalable architectures that support the training and deployment of these models, ensuring they meet performance and accuracy requirements. Collaboration with various teams to align model capabilities with project goals and continuous refinement of model parameters to enhance language comprehension and generation are key aspects of your daily activities.

Roles Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Lead the development and implementation of architectural strategies for large language models.

Facilitate knowledge sharing and mentorship within the team to foster professional growth.

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

Professional Technical Skills:


Must To Have Skills:

Proficiency in Snowflake Data Warehouse.

Good To Have Skills: Experience with Microsoft Azure Data Services, Data Science.

Strong 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.

The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.

This position is based at our Bengaluru office.

A 15 years full time education is required.


Qualification 15 years full time education