We are looking for a highly skilled Senior Azure AI/ML Engineer with strong hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, LLMs, RAG, and Microsoft Azure.

The candidate will be responsible for designing and implementing end-to-end AI/ML architectures and developing scalable AI applications using Python, LLMs, Vector Databases, and ML Ops practices.

The role also involves designing, developing, testing, and maintaining API integration solutions using Microsoft Azure Integration Services, C#/.NET, RESTful APIs, and relational databases.

Solid hands-on experience with Azure OpenAI and the ability to create and deploy LLM/AI services are mandatory.

Key ResponsibilitiesAI/ML & Generative AI

- Design and implement end-to-end AI/ML architectures.
- Develop and deploy Generative AI solutions.
- Design and implement Agentic AI solutions.
- Build scalable AI applications using Python.
- Work with LLMs and develop LLM-powered applications.
- Design and implement RAG (Retrieval-Augmented Generation) solutions.
- Work with Vector Databases for AI applications.
- Develop and deploy AI services on Microsoft Azure.
- Implement ML Ops practices for reliable AI model and application deployment.
- Optimize AI applications for scalability, performance, and reliability.

Azure OpenAI

- Develop AI applications using Azure OpenAI.
- Create and deploy LLM-based AI services.
- Integrate Azure OpenAI capabilities into enterprise applications.
- Develop solutions using Generative AI and LLM technologies.
- Work with prompts, models, context, and AI application integration.




- Ensure AI solutions meet enterprise security and governance requirements.

Azure Integration & API Development

- Design, develop, test, and maintain API integration solutions using Microsoft Azure Integration Services.
- Develop RESTful APIs and integrate enterprise applications.
- Work with C# / .NET for application and integration development.
- Work with relational databases and data integration requirements.
- Design scalable and reliable integration architectures.
- Troubleshoot API and integration issues.
- Optimize integration solutions for performance and reliability.

Collaboration & Solution Design

- Collaborate with cross-functional teams to understand business and technical requirements.
- Translate requirements into scalable AI and integration solutions.
- Participate in architecture and technical design discussions.
- Ensure solutions follow software development and integration best practices.
- Contribute to technical documentation and solution design.

AI Governance & Security

- Ensure AI solutions follow appropriate governance and security standards.
- Implement data privacy and compliance controls.
- Follow responsible and ethical AI practices.
- Ensure secure development and deployment of AI services.




- Identify and address security and compliance risks associated with AI applications.

Mandatory Skills

- 5+ years of relevant experience.
- Strong hands-on AI/ML development experience.
- Strong experience with Microsoft Azure.
- Hands-on experience with Azure OpenAI – Mandatory.
- Experience creating and deploying LLM-based AI services.
- Experience with Generative AI.
- Experience with Agentic AI.
- Strong Python development skills.
- Experience with LLMs.
- Strong understanding of RAG.
- Experience with Vector Databases.
- Knowledge of ML Ops practices.
- Experience with Azure Integration Services.
- Strong knowledge of C# / .NET.
- Experience developing RESTful APIs.
- Experience with relational databases.
- Understanding of API integration and enterprise integration patterns.
- Knowledge of AI governance, security, compliance, and responsible AI.

Technical Skills

AI/ML:
Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, LLMs, RAG, Vector Databases, ML Ops

Azure:
Microsoft Azure, Azure OpenAI, Azure Integration Services, Azure AI services

Development:
Python, C# / .NET, REST APIs

Data & Integration:
Relational Databases, API Integration, Enterprise Integration

Governance:
AI Security, AI Governance, Compliance, Responsible AI

Pay: ₹400,000.00 - ₹1,200,000.00 per year

Application Question(s):

- By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Senior Azure AI/ML Engineer (Bengaluru)
🏢 Ananta Services
📍 Bengaluru