Azure AI Engineer

Tata Consultancy Services; Hyderabad, Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tata Consultancy Services seeks an Azure AI Engineer to design, develop, and deploy AI-powered solutions on the Azure platform. The role focuses on Generative AI, LLMs, Azure OpenAI, and scalable cloud-native applications for enterprise needs.

Ideal candidates will have hands-on experience with ML, retrieval-augmented generation, and secure AI governance, delivering production-ready solutions with robust documentation.

Qualifications

• Hands-on experience designing and deploying AI/ML solutions on Azure.
• Proficiency with Generative AI and LLMs for enterprise use cases.
• Knowledge of security and governance for AI deployments.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions on Microsoft Azure.
• Build enterprise AI applications using Azure OpenAI Service and LLMs.
• Develop RAG solutions using Azure AI Search and vector databases.
• Integrate AI capabilities into business apps via APIs and microservices.
• Fine-tune prompts and optimize AI model performance for enterprise use.
• Design scalable, secure, and cost-efficient AI architectures.
• Collaborate with stakeholders to convert AI opportunities into production solutions.
• Monitor and improve AI applications for accuracy, performance, and governance.

Skills

Azure AI

Generative AI

LLMs

Machine Learning

Cloud-native development

AI governance

Education

Bachelor's or higher in CS/EE/Math

Tools

Azure OpenAI Service

Vector databases

APIs & microservices

Job description

TCS is Hiring for Bangalore and Hyderabad

Role Summary

We are seeking a highly skilled Azure AI Engineer to design, develop, and deploy AI-powered solutions leveraging Microsoft's Azure AI ecosystem. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), Azure OpenAI, Azure AI Services, Machine Learning, and cloud-native application development.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions on Microsoft Azure.


• Build enterprise AI applications using Azure OpenAI Service and Large Language Models (LLMs).


• Develop Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector databases.


• Integrate AI capabilities into business applications through APIs and microservices.


• Fine-tune prompts and optimize AI model performance for enterprise use cases.


• Design and implement scalable, secure, and cost-efficient AI architectures.


• Collaborate with business stakeholders to identify AI opportunities and convert them into production-ready solutions.


• Monitor, troubleshoot, and improve AI applications for accuracy, performance, and governance.


• Ensure AI solutions comply with security, privacy, and responsible AI guidelines.


• Create technical documentation, architecture diagrams, and deployment guides.

Required Technical Skills

Azure AI & Generative AI