Overview

Deploy and implement Microsoft Azure AI services and solutions.

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.
• Deploy and configure Azure AI Services, Azure OpenAI, Azure AI Search, and Azure AI
• 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.
• 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.

Qualifications

• 3+ years in Cloud and AI technologies
• Experience with Azure integrations and Python

Nice to have

• AI certifications
• Responsible AI experience

Education

• Bachelor's Degree in Computer Science or related field

Benefits

• Competitive Salary
• Career Growth Opportunities
• Learning & Development Programs
• Collaborative Work Environment
• Employee Benefits
• 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)