Senior Azure AI Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Microsoft Certification: Azure Solu­t­

Job summary

Tata Consultancy Services in Bengaluru, India, is seeking an experienced senior AI architect to design and deliver enterprise-grade Generative AI solutions using Azure AI services. You will drive RAG-based apps, AI agents, and scalable APIs across large platforms.

The role requires 8–10 years in software engineering with hands-on Azure AI expertise and a strong grasp of cloud-native architectures and MLOps.

Qualifications

• 8–10 years of software engineering experience.
• 3+ years hands-on Azure AI and Generative AI.
• Experience delivering production-grade AI applications and intelligent assistants.
• Strong understanding of cloud-native architectures and distributed systems.

Responsibilities

• Design and implement enterprise-grade Generative AI solutions using Azure AI services.
• Develop RAG-based applications leveraging Azure AI Search, vector databases, and Azure OpenAI.
• Build intelligent AI Agents and conversational AI solutions for business use cases.
• Integrate AI capabilities into existing enterprise platforms and applications.
• Develop APIs and microservices to support scalable AI workloads.
• Establish and implement MLOps/LLMOps practices, including deployment automation, monitoring, and governance.
• Collaborate with cross-functional teams to define solution architecture, technical roadmaps, and best practices.
• Ensure solutions adhere to security, compliance, performance, and scalability standards.

Skills

Python

LangChain

Semantic Kernel

Prompt Engineering

AI Agents

Agentic Frameworks

REST APIs

Microservices

Docker

Containerization

SQL

Data Engineering

Tools

Azure AI Services

Azure OpenAI

Vector Databases

Semantic Search

Job description

• Design and implement enterprise-grade Generative AI solutions using Azure AI services.
• Develop RAG-based applications leveraging Azure AI Search, vector databases, and Azure OpenAI.
• Build intelligent AI Agents and conversational AI solutions for business use cases.
• Integrate AI capabilities into existing enterprise platforms and applications.
• Develop APIs and microservices to support scalable AI workloads.
• Establish and implement MLOps/LLMOps practices, including deployment automation, monitoring, and governance.
• Collaborate with cross-functional teams to define solution architecture, technical roadmaps, and best practices.
• Ensure solutions adhere to security, compliance, performance, and scalability standards.

Required Skills

• Python
• LangChain and/or Semantic Kernel
• Prompt Engineering
• AI Agents & Agentic Frameworks
• REST APIs & Microservices
• Docker & Containerization
• SQL and Data Engineering concepts

Desired Experience

• 8-10 years of overall software engineering experience.
• Minimum 3+ years of hands-on experience in Azure AI and Generative AI technologies.
• Experience delivering production-grade AI applications and intelligent assistants.
• Strong understanding of cloud-native architectures and distributed systems.
• Experience with MLOps, model lifecycle management, observability, and monitoring.
• Exposure to vector databases, semantic search, and enterprise knowledge management solutions is highly preferred.

Preferred Certifications

• Microsoft Certified: Azure Solutions Architect Expert