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AI/ML Engineer (Azure AI, Gen AI)

AI/ML Engineer (Azure AI, Gen AI)

location_on Bengaluru
schedule 3 - 10 Years Exp.
computer onsite
badge Full-Time

description Job Description

Role & Responsibilities

We are looking for an Azure AI Engineer to join our AI & Data team. The ideal candidate will be responsible for deploying, migrating, implementing, and optimizing Microsoft Azure AI Services and Generative AI solutions. The candidate should have hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Services, and enterprise AI integrations across cloud environments.

Key Responsibilities
  • Deploy and configure Azure AI Services, Azure OpenAI, Azure AI Search, and Azure AI Foundry solutions.
  • Migrate AI workloads, models, and AI applications from on-premises or other cloud platforms to Azure AI Services.
  • Design and implement Generative AI, Conversational AI, Speech AI, Vision AI, and Document Intelligence solutions.
  • Integrate Azure AI Services with enterprise applications, APIs, databases, Microsoft 365, and Power Platform.
  • Monitor AI workloads, optimize performance, manage governance, security, and cost efficiency of Azure AI environments.

Ideal Candidate

  • Must have 3+ years of overall experience in Cloud, Artificial Intelligence, Machine Learning, Generative AI, Applied AI Engineering, or Azure AI implementation roles.
  • Must have hands-on experience implementing Microsoft Azure AI Services, including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Services, Azure ML, AI Agent Service, Speech, Vision, or Document Intelligence.
  • Must have strong experience in designing and deploying Generative AI applications using LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI, and Vector Databases.
  • Must have strong hands-on expertise in Python, REST APIs, Azure SDKs, and AI development frameworks such as LangChain, Semantic Kernel, or equivalent frameworks.
  • Must have experience integrating Azure AI solutions with enterprise applications, APIs, databases, Microsoft 365, Power Platform, or other cloud-native services.
  • Must have hands-on experience with Azure cloud services such as App Services, Azure Functions, AKS (Azure Kubernetes Service), Container Apps, Storage, Key Vault, Azure Monitor, and Networking.
  • Must have experience in AI workload migration, cloud migration, API integrations, Identity & Access Management (IAM), Security & Compliance, or enterprise AI deployments.
  • Must have working knowledge of MLOps, CI/CD pipelines, GitHub, Azure DevOps, and production deployment of AI solutions.

Preferred 

  • Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent Microsoft Azure AI certification.
  • Experience with Responsible AI, AI Governance, Security, Monitoring, Cost Optimization, and AI Operations.

Perks, Benefits and Work Culture

What We Offer
  • Competitive Salary
  • Career Growth Opportunities
  • Learning & Development Programs
  • Collaborative Work Environment
  • Employee Benefits

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