Job Title:  Consultant | GEN AI | Bengaluru | SAP

Job requisition ID ::  98312
Date:  Mar 3, 2026
Location:  Bengaluru
Designation:  Senior Consultant
Entity:  Deloitte Touche Tohmatsu India LLP

Job Title: Consultant – Generative AI (GenAI)

Location: PAN India (Bengaluru / Hyderabad / Mumbai / Gurugram / Pune)

Experience: 3–7 years


Role Overview

  • Support design and implementation of Generative AI solutions across client transformation programs.
  • Work on AI-led innovation initiatives including LLM-based applications, intelligent automation, and AI-powered analytics.
  • Collaborate with cross-functional teams to deliver scalable and responsible AI solutions aligned to Deloitte delivery standards.


Key Responsibilities

GenAI Solution Development

  • Design and develop applications using Large Language Models (LLMs) such as GPT, Claude, Llama, etc.
  • Build use cases including:
  • Conversational AI / Chatbots
  • Document intelligence & summarization
  • Code generation & automation
  • Knowledge assistants
  • Develop prompt engineering strategies and optimize model performance.
  • Integrate GenAI solutions into enterprise systems via APIs and microservices.


AI Engineering & Architecture

  • Implement Retrieval-Augmented Generation (RAG) frameworks.
  • Work with vector databases (FAISS, Pinecone, Weaviate, etc.).
  • Develop pipelines for data ingestion, preprocessing, and embedding.
  • Support deployment on cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
  • Ensure scalability, security, and performance optimization.


Responsible AI & Governance

  • Ensure AI solutions align with ethical AI principles and regulatory requirements.
  • Conduct bias evaluation, hallucination mitigation, and model risk assessment.
  • Implement access controls, monitoring, and audit logging for AI systems.


Client Engagement & Delivery

  • Participate in client workshops to identify AI use cases.
  • Translate business requirements into AI solution designs.
  • Prepare client-ready documentation, demos, and presentations.
  • Support PoCs, MVPs, and enterprise-scale implementations.
  • Collaborate with product owners, data scientists, and engineers.


Technology Stack (Preferred)

  • Programming: Python, JavaScript
  • Frameworks: LangChain, LlamaIndex, Hugging Face
  • Cloud: Azure, AWS, GCP
  • Databases: SQL/NoSQL, Vector databases
  • DevOps: Docker, Kubernetes, CI/CD pipelines


Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
  • 3–7 years of experience in AI/ML, Data Science, or software development.
  • Hands-on experience with LLMs and API integrations.
  • Strong understanding of NLP concepts and ML fundamentals.


Good to Have

  • Experience in enterprise AI transformation programs.
  • Exposure to MLOps frameworks.
  • Knowledge of data privacy regulations (GDPR, DPDP Act India).
  • Prior consulting experience (Big 4 / Tier-1 firms).