Azure Generative AI Engineer

Arohana Tech Solutions Private Limited; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Arohana Tech Solutions Private Limited is seeking an experienced Azure Generative AI Engineer to design, develop, and deploy enterprise-grade AI apps within the Azure AI ecosystem. You will build scalable, production-ready solutions using Python, Azure OpenAI, AI Foundry, and AI Search while ensuring governance and Responsible AI standards.

Responsibilities include developing AI agents, integrating REST/GraphQL APIs, implementing vector search, and deploying via Docker/AKS.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
• Strong analytical and problem‑solving skills.
• Excellent communication and stakeholder management abilities.
• Experience working in Agile development environments is preferred.

Responsibilities

• Design, develop, and deploy Generative AI applications using Azure AI services.
• Build AI agents and agentic workflows leveraging the Azure AI ecosystem.
• Develop and integrate REST/GraphQL APIs for AI applications.
• Implement Retrieval and Vector Search solutions using Azure AI Search and vector databases.
• Deploy AI applications using Docker, AKS, Azure App Services, or Azure Functions.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Implement secure AI solutions using Azure Key Vault, Managed Identity, and RBAC.
• Ensure Responsible AI, privacy, security, and governance compliance.
• Optimize AI applications for production deployment, scalability, and cost efficiency.
• Integrate AI solutions with enterprise systems and cloud platforms.

Skills

Python

Azure OpenAI & Azure AI Foundry

Azure AI Search

Agentic AI Development

REST/GraphQL APIs

Docker & AKS

GitHub Actions (CI/CD)

Azure Key Vault & RBAC

Databricks

Responsible AI

Education

Bachelor's or Master's degree in Computer Science/IT/AI

Tools

Docker

AKS

REST/GraphQL APIs

Databricks

Azure Key Vault

Job description

• Azure OpenAI & Azure AI Foundry
• Azure AI Search
• Azure Key Vault & RBAC
• Azure OpenAI
• Azure AI Foundry
• Azure AI Search
• Azure Key Vault
• Azure AI

We are seeking an experienced Azure Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications using the Azure AI ecosystem. The ideal candidate should have strong expertise in Python, Azure OpenAI, Azure AI Foundry, AI Search, Agentic AI development, API integration, containerization, and CI/CD. The role involves building scalable, secure, and production-ready AI solutions while ensuring Responsible AI and enterprise governance standards.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Azure AI services.
• Build AI agents and agentic workflows leveraging the Azure AI ecosystem.
• Develop and integrate REST/GraphQL APIs for AI applications.
• Implement Retrieval and Vector Search solutions using Azure AI Search and vector databases.
• Deploy AI applications using Docker, AKS, Azure App Services, or Azure Functions.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Implement secure AI solutions using Azure Key Vault, Managed Identity, and RBAC.
• Ensure Responsible AI, privacy, security, and governance compliance.
• Optimize AI applications for production deployment, scalability, and cost efficiency.
• Integrate AI solutions with enterprise systems and cloud platforms.

Mandatory Skills

• Minimum 4+ years of relevant experience in Generative AI, Azure AI, or AI/ML application development.
• Strong programming expertise in Python.
• Hands‑on experience with Azure OpenAI, Azure AI Foundry, and Azure AI Search.
• Experience building AI agents and Agentic AI workflows.
• Expertise in REST/GraphQL APIs and enterprise integrations.
• Hands‑on experience with Docker, AKS, and Azure deployment services.
• Experience implementing CI/CD pipelines using GitHub Actions.
• Good understanding of Responsible AI, enterprise security, and governance.

Preferred Skills

• Experience with Azure Cognitive Services and Azure Machine Learning.
• Knowledge of Vector Databases such as Azure AI Search Vector Index, Cosmos DB, or PostgreSQL.
• Experience with Databricks and enterprise AI platforms.
• Familiarity with Azure Key Vault, Managed Identity, and RBAC.
• Experience working with production‑scale AI deployments and operational governance.

Key Skills

• Python
• Azure OpenAI & Azure AI Foundry
• Azure AI Search
• REST/GraphQL APIs
• Agentic AI Development
• Docker & AKS
• GitHub Actions (CI/CD)
• Azure Key Vault & RBAC
• Databricks
• Responsible AI

Tools & Technologies

• Azure OpenAI
• Azure AI Foundry
• Azure AI Search
• Python
• Docker & AKS
• GitHub Actions
• Azure Key Vault
• Databricks

Domain

• Generative AI
• Azure AI
• Artificial Intelligence & Machine Learning
• Enterprise AI Solutions
• Cloud Engineering

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
• Strong analytical and problem‑solving skills.
• Excellent communication and stakeholder management abilities.
• Experience working in Agile development environments is preferred.

Skills: azure ai foundry / azure ai search,azure ai services,docker,rest/graphql apis,python,aks - azure kubernetes service,azure openai