Job Title:  T&T- EAID-Platform Development & Integration-Analyst | Generative AI | Bengaluru | Engineering |

Job requisition ID ::  107778
Date:  Jun 26, 2026
Location:  Bengaluru
Designation:  Analyst
Entity:  Deloitte Touche Tohmatsu India LLP

T&T- EAID-Platform Development & Integration-Analyst | Generative AI | Bengaluru | Engineering |
Job requisition ID : 107778 
Location: Bengaluru
Entity: Deloitte Touche Tohmatsu India LLP 

The team 

 

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.        

  

Your work profile

  • We are looking for an AI Engineer to design and implement AI-driven systems.
  • You will focus on building agentic workflows, orchestrating Large Language Models (LLMs), and developing scalable AI solutions for enterprise automation.
  • Design and develop agentic AI systems using frameworks like LangChain and Lang Graph.
  • Build and optimize LLM-driven applications for complex tasks such as document analysis (e.g., RFP evaluation) and automated decision support.
  • Develop end-to-end pipelines for information extraction, structured evaluation, and automated scoring.
  • Implement NLP-based semantic analysis to provide contextual insights and automated feedback.

 

Key skills required: 

Technical Skills

  • Design and develop agentic AI systems using frameworks like LangChain and Lang Graph.
  • Build and optimize LLM-driven applications for complex tasks such as document analysis (e.g., RFP evaluation) and automated decision support.
  • Develop end-to-end pipelines for information extraction, structured evaluation, and automated scoring.
  • Implement NLP-based semantic analysis to provide contextual insights and automated feedback.

Soft Skills

  • Analytical Thinking: Ability to dissect complex technical risks and provide actionable insights.
  • Communication: Strong professional writing skills for proposals and reporting; ability to present findings to diverse audiences.
  • Problem-Solving: A proactive approach to identifying vulnerabilities and proposing structural solutions.

Qualifications 

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.