Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a Recent World of Communications

AI Engineer (Generative AI / Agentic AI)

Location: Chennai, Tamil Nadu

Experience: 4–6 Years

Qualification: BE/B.Tech (CSE / IT / ECE) from a reputed institution/university

Role Overview

We are looking for a passionate AI Engineer with 4–6 years of experience to design, develop, and deploy enterprise-grade AI solutions leveraging Generative AI, Agentic AI, LLMs, Machine Learning, and Cloud Technologies . The candidate should have hands-on experience building AI agents, copilots, RAG-based applications, and scalable AI platforms.

Key Responsibilities
Design, build, and deploy AI/GenAI solutions for enterprise use cases.
Develop AI agents, copilots, and RAG-based applications using contemporary LLM frameworks.
Integrate AI solutions with enterprise applications, APIs, databases, and cloud services.
Implement prompt engineering, model evaluation, guardrails, and responsible AI practices.
Build scalable data pipelines, vector search, and knowledge retrieval systems.
Optimize AI solution performance,



scalability, and operational costs.
Collaborate with business, product, and engineering teams to translate requirements into AI solutions.
Stay updated with emerging AI technologies and drive innovation initiatives.

Required Skills
Programming: Python, SQL, REST APIs
GenAI & LLMs: OpenAI/Azure OpenAI, Prompt Engineering, RAG, AI Agents
Frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel
Databases: PostgreSQL/MySQL, MongoDB, Vector DBs (Pinecone, FAISS, ChromaDB, Weaviate)
Cloud: Microsoft Azure (preferred), Azure AI Foundry, Azure AI Search, Azure ML
DevOps: Git, Docker, Kubernetes, CI/CD, Linux
Robust problem-solving, communication, and stakeholder management skills.

Preferred Skills
Multi-Agent Systems, Agent Orchestration
MCP (Model Context Protocol)
Conversational AI, Chatbots, Copilot Development
MLOps / LLMOps
Enterprise Security, Authentication & Authorization

Minimum Qualification
BE/B.Tech in Computer Science (CSE), Information Technology (IT), or Electronics & Communication Engineering (ECE) from a reputed institution.
4–6 years of software engineering experience, with at least 3+ years in AI/ML or Generative AI development.

📌 Assistant Manager Ai Coe Chennai
🏢 Tata Communications
📍 Chennai