Large Language Model Architect

Accenture; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Accenture in Gurugram District is seeking a Large Language Model Architect to design and implement large language models. This role requires building intelligent Data Agents leveraging AI frameworks and Python, focusing on automation and decision-making processes.

The ideal candidate should possess 3+ years of experience, with proficiency in Python, AI/ML concepts, and cloud-based AI services. Strong collaboration skills are essential to drive product and engineering synergies.

Qualifications

• Minimum 3 years of experience is required.
• Minimum 2.5 years of professional experience in required skills, including 1 year of generative AI experience.

Responsibilities

• Build and deploy intelligent Data Agents using Agentic AI frameworks and Python.
• Implement scalable data pipelines leveraging Python/PySpark.
• Apply advanced AI/ML concepts within Data Agents.
• Develop prompts to improve performance of LLMs.
• Collaborate with product, data science, and engineering teams.
• Refine agent capabilities for adaptability and efficiency.

Skills

Large Language Models

Python

AI/ML concepts

PySpark

Knowledge Graphs

ETL/ELT pipelines

Database modeling

APIs (FastAPI)

Elasticsearch

Angular/React

Cloud AI services

Education

15 years full time education

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About The Role

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: Large Language Models

Good to have skills: NA

Experience: Minimum 3 year(s) of experience is required

Educational Qualification: 15 years full time education

Roles & Responsibilities

• Build and deploy intelligent Data Agents using Agentic AI frameworks and Python-based development to enable autonomous decision-making.
• Implement scalable and efficient data pipelines leveraging Python/PySpark to support AI-driven workflows and analytics.
• Apply advanced AI/ML concepts within Data Agents to enable automation, reasoning, and intelligent decision support.
• Develop and optimize prompts to improve performance of large language models (LLMs) and enhance agentic workflows.
• Partner with product, data science, and engineering teams to identify business use cases and deliver AI-powered solutions.
• Continuously refine agent capabilities to improve adaptability, efficiency, and accuracy in dynamic business environments.

Technical Experience

• Minimum 2.5 years of professional experience in the required skills, including at least 1 year of generative AI experience.
• Proficiency in Python, Knowledge Graphs, and experience with PySpark for data handling.
• Foundational understanding of AI/ML concepts (supervised/unsupervised learning, NLP, LLMs).
• Experience with ETL/ELT pipelines.
• Proficiency in different types of database modeling (relational, NoSQL, graph, etc.).
• Experience building APIs (e.g., FastAPI) and Server-Sent Events (SSE).
• Knowledge of search technologies, including Elasticsearch, vectorization, and embeddings.
• Experience developing modern frontends using Angular or React frameworks.
• Experience with cloud-based AI services (AWS SageMaker, Azure ML, GCP Vertex AI).
• Familiarity with LLMs and frameworks for building agentic workflows.
• Hands‑on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.

Educational Qualifications

15 years full time education is required.