Large Language Model Architect
BengaluruFull-timePosted Jul 30, 2026
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 : Google Cloud Data Services
Good to have skills : Snowflake Data Warehouse, 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, 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 of unstructured text, ensuring the models can effectively interpret and produce natural language. The position demands continuous refinement of model parameters and collaboration with various stakeholders to align the architecture with project goals and evolving technological advancements. The architect plays a key role in shaping the capabilities and performance of language models that support diverse applications across industries.
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 scalable language model architectures to meet project requirements.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to integrate language models into broader systems and workflows.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Data Services.
- Good To Have Skills: Experience with Microsoft Azure Data Services, Snowflake Data Warehouse.
- Strong expertise in designing and optimizing neural network architectures for natural language processing tasks.
- Experience with large-scale data processing and management in cloud environments.
- Ability to analyze and improve model performance through parameter tuning and evaluation metrics.
- Familiarity with data storage, retrieval, and transformation techniques relevant to language model training.
Additional Information:
- The candidate should have minimum 5 years of experience in Google Cloud Data Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
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 : Google Cloud Data Services
Good to have skills : Snowflake Data Warehouse, 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, 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 of unstructured text, ensuring the models can effectively interpret and produce natural language. The position demands continuous refinement of model parameters and collaboration with various stakeholders to align the architecture with project goals and evolving technological advancements. The architect plays a key role in shaping the capabilities and performance of language models that support diverse applications across industries.
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 scalable language model architectures to meet project requirements.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to integrate language models into broader systems and workflows.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Data Services.
- Good To Have Skills: Experience with Microsoft Azure Data Services, Snowflake Data Warehouse.
- Strong expertise in designing and optimizing neural network architectures for natural language processing tasks.
- Experience with large-scale data processing and management in cloud environments.
- Ability to analyze and improve model performance through parameter tuning and evaluation metrics.
- Familiarity with data storage, retrieval, and transformation techniques relevant to language model training.
Additional Information:
- The candidate should have minimum 5 years of experience in Google Cloud Data Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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