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AI/ML Engineer

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Onsite

AI/ML Engineer

Tata Consultancy Services

AI/ML Engineer

Skills

PythonConsulting ITKnowledge ManagementMachine LearningAIAWSNo-code AutomationsPySparkDigital Transformation

3 months ago

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Important information


Contract type:

Permanent

Location:

Indore, Madhya Pradesh, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


Greetings from TCS!!!

We are looking for one of our requirements of AI/ML Engineers

Desired Experience Range* * 8+yrs year s

Location - Indore, Madhya Pradesh, India

Mode of Interview: Virtual

J D-

We are looking for highly skilled and innovative AI/ML Engineers to lead the design, development, and deployment of enterprise-grade Generative AI solutions , Multi-Agent Systems , and Retrieval-Augmented Generation (RAG) platforms on AWS cloud. The ideal candidate will possess deep expertise in Python, PySpark, AWS Bedrock, LangGraph/LangChain, Vector Databases, Prompt Engineering, and LLM Orchestration .

This is a high-visibility client-facing role involving the architecture and implementation of scalable AI solutions that automate complex business workflows, knowledge management systems, intelligent assistants, and enterprise digital transformation initiatives.

The candidate will be responsible for building end-to-end GenAI ecosystems including data ingestion, document processing, embedding pipelines, vector search architectures, multi-agent orchestration frameworks, evaluation mechanisms, and production-grade deployment strategies.

Key Responsibilities

Generative AI Solution Development

  • Design, develop, and deploy enterprise-scale Generative AI applications using Large Language Models (LLMs).
  • Develop AI-powered assistants, copilots, document intelligence systems, and workflow automation solutions.
  • Build production-ready GenAI applications leveraging AWS Bedrock and foundation models.
  • Implement model orchestration frameworks for complex reasoning and task execution.
  • Design AI systems capable of handling structured and unstructured enterprise data.

Multi-Agent Architecture Development

  • Design and implement intelligent Multi-Agent Systems using LangGraph, LangChain, CrewAI, or similar frameworks.
  • Develop autonomous AI agents capable of task planning, execution, reasoning, and collaboration.
  • Build agent orchestration frameworks for business process automation.
  • Seniority Level
  • Associate
  • Industry
  • IT Services and IT Consulting
  • Employment Type
  • Full-time
  • Job Functions
  • Information

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