Assistant Manager - AI COE

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 New 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 modern 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
• Strong problem\-solving, communication, and stakeholder management skills.

• *Preferred Skills**
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• 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.