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
Minimum

3 year(s) of experience is required

Educational Qualification :15 years full time education

SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and optimizing intelligent agents that can autonomously process data, interact with systems, and support business decision-making. ROLES AND RESPONSIBILITIES:
- Design & Development:Build and deploy intelligent Data Agents using Agentic AI frameworks and Python-based development to enable autonomous decision-making.
- Data Engineering:Implement scalable and effective data pipelines leveraging Python/Py Spark to support AI-driven workflows and analytics.
- AI/ML Integration:Apply advanced AI/ML concepts within Data Agents to enable automation, reasoning, and intelligent decision support.
- Prompt Engineering:Develop and optimize prompts to improve performance of large language models (LLMs) and enhance agentic workflows.
- Cross-functional Collaboration:Partner with product, data science, and engineering teams to identify business use cases and deliver AI-powered solutions.
- Innovation & Enhancement:Continuously refine agent capabilities to improve adaptability, efficiency, and accuracy in dynamic business environments. TECHNICAL EXPERIENCE:
- Min 2.5 years of professional experience in the required skills - having min 1 year of Gen AI experience




- Proficiency in Python, Knowledge Graphs, and experience with Py Spark for data handling.
- Foundational understanding of AI/ML concepts (e.g., supervised/unsupervised learning, NLP, LLMs).
- Growth mindset and agility to adapt in a rapidly evolving AI landscape.
- Experience with ETL/ELT pipelines.
- Proficiency in different types of database modeling (relational, NoSQL, graph, etc.).
- Experience building APIs (e.g., Fast API) and Server-Sent Events (SSE).
- Knowledge of search technologies, including Elasticsearch, vectorization, and embeddings.
- Experience developing modern frontends using Angular or React frameworks.
- Design and build Data Agents leveraging Agentic AI frameworks and Python-based development.
- Implement scalable data pipelines using Python/Py Spark to support AI-driven workflows.
- Integrate AI/ML concepts into Data Agents for automation, reasoning, and decision support.
- Apply prompt engineering techniques to optimize performance of LLMs and agentic workflows.
- Collaborate with product, data science, and engineering teams to identify use cases and deliver AI-enabled solutions.
- Continuously enhance agent capabilities to improve adaptability, accuracy, and efficiency.
- Stay ahead of emerging technologies in Agentic AI, ML, and autonomous systems to drive innovation.
- Strong problem-solving mindset, with the ability to build and adapt intelligent systems.
- Excellent communication skills to articulate technical ideas to cross-functional teams. ADDITIONAL ATTRIBUTES:
- Familiarity with LLMs and frameworks for building agentic workflows.
- Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or Py Torch.
- Understanding of cloud-based AI services (AWS SageMaker, Azure ML, GCP Vertex AI). EDUCATION QUALIFICATIONS:
- A 15-year full-time education is required

Qualification 15 years full time education

📌 Large Language Model Architect (Gurugram)
🏢 Accenture
📍 Gurugram