AI/ML Engineer – Generative AI & Agentic AI

Tata Consultancy Services; Pune District; On-site; INR 1,600,000 - 3,200,000; Full time

Job summary

Tata Consultancy Services is seeking an AI/ML Engineer in Pune to design, develop, and deploy enterprise-grade AI solutions. The role emphasizes Generative AI, Agentic AI, and AWS cloud technologies across Bedrock, SageMaker, Lambda, LangChain, and LangGraph.

You will build scalable AI systems, optimize LLM-powered apps, and ensure governance and security while collaborating with business stakeholders and engineering teams.

Qualifications

• Bachelor's or Master's degree in CS/IT/AI/DS or related field.
• Hands-on experience building enterprise AI solutions on AWS.
• Strong knowledge of LLMs, retrieval, and AI governance best practices.

Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS cloud platforms.
• Build intelligent Agentic AI systems using LangChain, LangGraph, and multi-agent orchestration frameworks.
• Develop and optimize LLM-powered applications leveraging foundation models via Bedrock.
• Implement Prompt Engineering, RAG, Vector Search, and Knowledge Retrieval.
• Integrate AI with enterprise apps, APIs, and cloud-native architectures.
• Ensure secure, reliable, scalable AI services using SageMaker, Lambda, and S3.
• Collaborate with stakeholders to translate needs into AI-driven solutions.
• Conduct model testing, monitoring, and performance optimization for production readiness.
• Adhere to AI governance, security, compliance, and Responsible AI practices.
• Stay updated on AI trends and cloud innovations to drive improvements.

Skills

Generative AI

Agentic AI Development

Amazon Bedrock

Amazon SageMaker

AWS Lambda

LangChain

LangGraph

Python Programming

Large Language Models

Prompt Engineering

RAG Architectures

AWS Deployment & Monitoring

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline

Tools

Docker

Kubernetes

Vector Databases (Pinecone, ChromaDB, FAISS, OpenSearch)

Job description

Notice Period: Immediate Joiners / 30 / 60 / 90 Days

Role Overview

We are seeking a highly skilled AI/ML Engineer with strong expertise in Generative AI, Agentic AI, and AWS Cloud Technologies to design, develop, and deploy enterprise‑grade AI solutions. The ideal candidate will have hands‑on experience building intelligent applications using Amazon Bedrock, Amazon SageMaker, AWS Lambda, LangChain, and LangGraph, with a deep understanding of Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and AI agent orchestration frameworks.

This role offers an exciting opportunity to work on cutting‑edge AI initiatives within a leading global financial services organization, driving innovation through scalable and secure AI‑powered solutions.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS cloud platforms.
• Build intelligent Agentic AI systems using LangChain, LangGraph, and multi‑agent orchestration frameworks.
• Develop and optimize LLM‑powered applications leveraging foundation models through Amazon Bedrock.
• Implement advanced AI capabilities including Prompt Engineering, RAG, Vector Search, Knowledge Retrieval, and Model Evaluation.
• Integrate AI solutions with enterprise applications, APIs, and cloud‑native architectures.
• Design and implement secure, reliable, and highly scalable AI services using AWS services such as SageMaker, Lambda, S3, and related technologies.
• Collaborate with business stakeholders, architects, and development teams to translate business needs into AI‑driven solutions.
• Conduct model testing, evaluation, monitoring, and performance optimization to ensure production readiness.
• Follow AI governance, security, compliance, and Responsible AI best practices.
• Stay updated with emerging AI trends, frameworks, and cloud innovations to drive continuous improvement.

Mandatory Skills

• Strong experience in Generative AI and Agentic AI Development
• Expertise in Amazon Bedrock
• Hands‑on experience with Amazon SageMaker
• Strong knowledge of AWS Lambda
• Experience with LangChain
• Experience with LangGraph
• Proficiency in Python Programming
• Sound understanding of Large Language Models (LLMs)
• Expertise in Prompt Engineering
• Experience in RAG (Retrieval‑Augmented Generation) Architectures
• Exposure to AI model deployment and monitoring on AWS

Desired Skills

• Experience with Vector Databases such as Pinecone, ChromaDB, FAISS, or OpenSearch
• Knowledge of Multi‑Agent Systems and AI Orchestration
• Experience in API integrations and microservices architecture
• Familiarity with DevOps, CI/CD Pipelines, Docker, and Kubernetes
• Exposure to BFSI domain projects is preferred

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline.

Preferred Certifications