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

Azure AI Deployment

- Deploy and configure Azure AI Services, Azure OpenAI, Azure AI Search, and Azure AI

Foundry solutions.

AI Migration

- Migrate AI workloads, models, and AI applications from on-premises or other cloud platforms to Azure AI Services.

AI Solution Implementation

- Design and implement Generative AI, Conversational AI, Speech AI, Vision AI, and Document Intelligence solutions.

Integration & Automation

- Integrate Azure AI Services with enterprise applications, APIs, databases, Microsoft 365, and Power Platform.

Operations & Optimization

- Monitor AI workloads, optimize performance, manage governance, security, and cost efficiency of Azure AI environments.

Ideal Candidate

- Strong Azure AI Engineer (Microsoft Azure AI / Azure OpenAI / Generative AI) Profiles
- Mandatory (Experience 1) – Must have 3+ years of overall experience in Cloud, Artificial Intelligence, Machine Learning, Generative AI, Applied AI Engineering, or Azure AI implementation roles.
- Mandatory (Experience 2) – 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.
- Mandatory (Experience 3) – 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.
- Mandatory (Experience 4) – Must have strong hands-on expertise in Python, REST APIs, Azure SDKs, and AI development frameworks such as LangChain, Semantic Kernel, or equivalent frameworks.
- Mandatory (Experience 5) – Must have experience integrating Azure AI solutions with enterprise applications, APIs, databases, Microsoft 365, Power Platform, or other cloud-native services.
- Mandatory (Experience 6) – 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.
- Mandatory (Experience 7) – Must have experience in AI workload migration, cloud migration, API integrations, Identity & Access Management (IAM), Security & Compliance, or enterprise AI deployments.
- Mandatory (Experience 8) – Must have working knowledge of MLOps, CI/CD pipelines, GitHub, Azure DevOps, and production deployment of AI solutions.
- Preferred (Certification) – Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent Microsoft Azure AI certification.
- Preferred (Governance) – 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
- Team-oriented Work Environment
- Employee Benefits

Pay: ₹407,572.57 - ₹1,200,000.00 per year

Application Question(s):

- Which Azure AI services have you implemented in production?
- Which AI frameworks have you worked with?
- Are you serving any Notice period?
- What is your current CTC in LPA?
- What is your expected CTC in LPA? (12)
- What is your notice period in days? (30)

Experience:

- overall: 3 years (Required)

Work Location: In person

📌 AI/ML Engineer (Azure AI, Gen AI) (India)
🏢 OptimHire
📍 India