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 : Machine Learning (ML), Data Engineering
Minimum
15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
You lead the complete knowledge engineering scope on our most strategic and complex programs lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You define what staying at the forefront means for the practice drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value at scale. You lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement. You partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs.
Lead the complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients.
Own the design, development, and implementation of AI and semantic solutions across the program.
Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings.
Develop trusted-advisor relationships with senior client stakeholders.
Make and defend the business case for the semantic layer solution at the executive level.
Lead Accenture sales and pre-sales efforts and shape data transformation programs.
Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them.
Bachelor's degree or equivalent
Bachelor's degree or equivalent, plus all of the following:
Minimum 6 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
Minimum 6 years of experience in schema design, ontology management, and KG curation
Minimum 4 years designing and developing KG solutions and graph-based ML models (functional + technical)
Minimum 3 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
Minimum 6 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
Minimum 6 years of managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business and technology stakeholders, with a proven track record in sales and/or pre-sales and in delivering data transformation programs and developing teams
Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering
Experience with LLMs for enterprise-scale applications.
5+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
5+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
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
Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
Broad experience in diverse ML techniques and agentic systems.
As a Large Language Model Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that are trained on extensive datasets, ensuring the models can effectively interpret and produce natural language. The position demands continuous collaboration with various teams to refine model parameters and optimize performance, while also exploring innovative approaches to enhance language processing capabilities within complex systems.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of scalable language model architectures.
- Mentor and guide junior team members to foster professional growth and technical excellence.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with Machine Learning (ML), Data Engineering.
- Strong expertise in designing and optimizing data storage and retrieval within cloud-based data warehouse environments.
- Ability to integrate large-scale data processing workflows with language model training pipelines.
- Experience in managing and analyzing large datasets to support model training and evaluation.
- Familiarity with neural network architectures and their application in natural language processing tasks.
Additional Information:
- The candidate should have minimum 15 years of experience in Snowflake Data Warehouse.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
