Azure Senior AI engineer

Tata Consultancy Services

Chennai District, Bengaluru

Remote

INR 3,200,000 - 5,200,000

Full time

3 days ago

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Job summary

Tata Consultancy Services seeks an experienced Senior AI Engineer to design and deploy enterprise-scale AI/ML solutions on Microsoft Azure. You will collaborate with data engineers, architects, and developers to translate business needs into AI-driven outcomes.

The role emphasizes Generative AI, MLops, and cloud-native architectures, with a focus on secure, governed AI practices and scalable data pipelines across Azure Data Services.

Qualifications

8-10 years of experience in AI/ML roles.
Strong expertise in Azure AI services, Generative AI, and ML lifecycle.
Experience building enterprise-scale AI solutions and deploying them on cloud.

Responsibilities

Design and implement AI/ML solutions using Azure AI services.
Develop Generative AI apps using Azure OpenAI, GPT models, and Copilot frameworks.
Train, optimize, and monitor ML models for production environments.

Skills

Azure AI Services

Azure Machine Learning

Azure OpenAI Service

Generative AI

Python Programming

Machine Learning

MLOps

Azure Databricks

Azure Data Factory

Azure Cognitive Services

Vector Databases

REST APIs

SQL/NoSQL Databases

Tools

AKS

Docker

PyTorch

TensorFlow

Spark/PySpark

Kubernetes

Azure Databricks

Azure Data Factory

Job description

Role: Senior AI Engineer - Azure AI
Experience: 8-10 Years
Location: PAN India

Job Summary-

We are seeking an experienced Azure Senior AI Engineer to design, develop, and deploy enterprise-scale AI/ML solutions on Microsoft Azure. The ideal candidate should have strong expertise in Azure AI services, Generative AI, Machine Learning, MLOps, and cloud-native architectures. The role involves collaborating with business stakeholders, data engineers, architects, and development teams to deliver innovative AI solutions.

Key Responsibilities

Design and implement AI/ML solutions using Azure AI and Machine Learning services.
Develop and deploy Generative AI applications using Azure OpenAI, GPT models, and Copilot frameworks.
Build, train, optimize, and monitor machine learning models for production environments.
Develop scalable data pipelines and AI workflows using Azure Data Services.
Implement MLOps practices including CI/CD, model versioning, monitoring, and automated deployment.
Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
Ensure security, governance, compliance, and responsible AI practices across AI platforms.
Mentor junior engineers and contribute to AI strategy and architecture discussions.

Mandatory Skills