Azure AI/ML Engineer

Tata Consultancy Services; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced AI/ML engineer to design and implement cloud-native AI solutions in Azure. The role emphasizes building robust backends with Python or C#, integrating LLMs, and deploying through Azure services. You will work on RAG systems, document intelligence, and secure deployment patterns in enterprise environments.

Applicants should have 5–10 years in software/AI, strong Azure expertise, and collaboration skills to drive AI initiatives across teams.

Qualifications

• 5–10 years of software engineering or AI/ML development experience.
• At least 4+ years working with Azure AI services.
• Hands-on Python backend development for AI pipelines and LLM integrations.
• Strong experience with Azure AI Document Intelligence (OCR, extraction, classification).
• Deep understanding of Azure OpenAI (GPT models, embeddings, chat, prompt engineering).
• Experience with Azure Foundry for building and deploying AI apps.
• Cloud-native Azure environment experience and LLM API integrations.
• Knowledge of RAG systems using Azure Cognitive Search or vector stores.
• Proficiency in Python or C# (Node.js acceptable) for backend microservices.
• Experience with Azure services (Logic Apps, Event Grid, Storage, Functions).
• Knowledge of Responsible AI, privacy, compliance, and secure deployment.

Skills

Python

C#

LLM integrations

Azure OpenAI

Azure AI services

Azure DevOps

Backend microservices

GPT models

Cost & performance optimization

Tools

Azure AI services

Azure OpenAI

Azure AI Document Intelligence

Azure AI Foundry

Azure Cognitive Search

LangChain

Semantic Kernel

LlamaIndex

Vector databases (Cosmos DB w/ vector indexing)

Power Platform AI Builder

Job description

Interview Date : 19-Sep-26(Saturday )

Note : Only candidates currently located in should a Chennai apply.

Experience

5 to 10 Years

Must-Have

• 5–8 years of experience in software engineering or AI/ML development, with at least 4+ years working with Azure AI services.


• Strong hands-on experience with Python for backend development, AI pipelines, and LLM integrations.


• Strong hands-on experience with Azure AI Document Intelligence including extraction, forms, OCR, and classification.


• Deep understanding of Azure OpenAI, including GPT models, embeddings, chat completions, prompt engineering, and content safety.


• Practical experience using Azure AI Foundry for building, testing, and operationalizing AI apps.


• Experience building AI solutions in cloud-native Azure environments including:


• Hands-on experience making calls to LLM APIs (chat completions, embeddings, model inference endpoints) and integrating them into applications.


• Experience architecting and implementing RAG systems using Azure Cognitive Search or vector index stores.


• Strong programming experience in Python or C# (Node.js acceptable) for backend microservices and integrations.


• Practical experience with Azure services including Logic Apps, Event Grid, Storage, Functions, and automated workflows.


• Solid knowledge of Responsible AI, privacy, compliance, and secure deployment models.


• Strong debugging and optimization skills for AI workloads (cost, latency, throughput).


• Hands-on experience with Azure DevOps, Git repositories, CI/CD pipelines, IaC, and deployment automation.


• Strong analytical, communication, and stakeholder management skills.


• Experience using vector databases such as Azure Cosmos DB with vector indexing, Redis Enterprise, or Pinecone.


• Familiarity with multi-agent AI architectures, orchestration frameworks, and agentic workflows.


• Exposure to Power Platform AI Builder and low-code AI integrations.


• Understanding of NLP techniques including entity extraction, embeddings, semantic search, text analytics, and conversation design.


• Experience with frameworks like LangChain, Semantic Kernel, or LlamaIndex.