Senior AI/ML Engineer - Generative AI & Agentic AI_EXP: 10+

Tata Consultancy Services; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services in Hyderabad seeks a Senior AI/ML Engineer with deep expertise in Generative AI, LLMs, RAG, and Agentic AI to architect and deploy enterprise-scale AI solutions. You will lead multi-agent workflows, design scalable MLOps, and drive AI innovation across teams.

The role requires 10-15 years of experience, strong Python, NLP, and cloud skills, and the ability to translate business needs into robust GenAI systems for complex environments.

Qualifications

• Must have hands-on experience with Generative AI and LLMs.
• Proficient in Python, ML/DL, NLP and MLOps.
• Experience with RAG, LangChain, and Agentic AI.
• Strong knowledge of Docker/Kubernetes and AI deployment.

Responsibilities

• Develop and deploy GenAI and LLM-based solutions.
• Build RAG pipelines and intelligent conversational systems.
• Design Agentic AI and multi-agent workflows.
• Lead AI solution architecture and enterprise AI initiatives.
• Implement scalable MLOps and AI deployment frameworks.
• Drive innovation using emerging AI technologies.

Skills

Generative AI

LLMs

Prompt Engineering

RAG

LangChain

LlamaIndex

Agentic AI

Python

ML/DL

NLP

Conversational AI

MLOps

Docker

Kubernetes

Job description

Senior AI/ML Engineer - Generative AI & Agentic AI

Location: Hyderabad
Experience: 10-15 Years
Notice Period: Immediate to 30 Days Preferred

Role Overview

We are looking for a highly experienced Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG, Agentic AI, Conversational AI, and MLOps to design and deploy enterprise-scale AI solutions.

Primary Skills (Must Have)

• Generative AI & Large Language Models (GPT, Claude, Llama)
• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• LangChain / LlamaIndex
• Agentic AI (CrewAI, AutoGen, LangGraph)
• Python Programming
• Machine Learning & Deep Learning
• NLP / Conversational AI
• MLOps, Docker, Kubernetes

Secondary Skills (Good to Have)

• AIOps & Predictive Analytics
• Anomaly Detection
• Azure OpenAI / AWS / GCP AI Services
• Vector Databases (Pinecone, FAISS, ChromaDB)
• AI Governance & Responsible AI
• Graph RAG & Knowledge Graphs

Key Responsibilities

• Develop and deploy GenAI and LLM-based solutions.
• Build RAG pipelines and intelligent conversational systems.
• Design Agentic AI and multi-agent workflows.
• Lead AI solution architecture and enterprise AI initiatives.
• Implement scalable MLOps and AI deployment frameworks.
• Drive innovation using emerging AI technologies.