AI/ML Engineers

Tata Consultancy Services; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Tata Consultancy Services seeks experienced AI/ML Engineers to lead design, development, and deployment of enterprise-grade Generative AI solutions on AWS. You will architect end-to-end GenAI ecosystems, including data ingestion, embedding pipelines, vector search, and multi-agent orchestration.

The role emphasizes client-facing delivery, scalable architectures, and advanced tooling such as LangGraph/LangChain and AWS Bedrock. 8+ years required, Hyderabad-based preferred.

Qualifications

• 8+ years of AI/ML engineering experience in enterprise environments.
• Deep expertise in Generative AI, LLMs, prompts, and orchestration.
• Proven ability to design end-to-end GenAI ecosystems on cloud platforms.
• Strong client-facing skills and ability to translate requirements into scalable solutions.

Responsibilities

• Design, develop, and deploy enterprise-scale Generative AI applications using LLMs.
• Build AI-powered assistants, copilots, and document intelligence systems.
• Develop GenAI apps leveraging AWS Bedrock and foundation models.
• Implement model orchestration frameworks for complex reasoning and tasks.
• Design AI systems for structured and unstructured enterprise data.
• Create multi-agent systems using LangGraph/LangChain/CrewAI.
• Develop autonomous AI agents for planning, execution, and collaboration.

Skills

Python

PySpark

AWS Bedrock

LangGraph/LangChain

Vector Databases

Prompt Engineering

LLM Orchestration

Generative AI

Multi-Agent Systems

Tools

LangGraph

LangChain

CrewAI

VectorDB

Job description

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

Desired Experience Range** 8+yrs years

Mode of Interview: Virtual

JD-

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.
• 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.