Job Description

We are looking for an experienced AI Solutions Architect / Lead AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate should possess robust expertise in Python-based API development, Retrieval Augmented Generation (RAG), Azure AI services, and cloud-native application architecture.

The role involves architecting scalable AI platforms, building production-ready APIs, integrating Large Language Models (LLMs), and implementing secure, high-performance AI solutions using Azure technologies.

Key Responsibilities

- Design and implement scalable Generative AI and RAG-based solutions.
- Develop and deploy production-grade REST APIs using Python frameworks such as FastAPI, Flask, or Django.
- Architect and optimize Retrieval Augmented Generation (RAG) pipelines for enterprise use cases.
- Build AI-powered applications leveraging Azure AI services and Large Language Models (LLMs).
- Design cloud-native applications using Microsoft Azure services.




- Integrate enterprise data sources, knowledge bases, and vector search capabilities into AI solutions.
- Establish architecture standards, coding best practices, and performance optimization strategies.
- Work closely with business stakeholders, product owners, and engineering teams to deliver innovative AI solutions.
- Implement monitoring, logging, security, and governance frameworks for AI applications.
- Lead technical discussions, code reviews, and architecture reviews.

Mandatory Technical Skills

Python Development

- Strong proficiency in Python
- FastAPI
- Flask
- Django
- REST API Development
- API Design and Integration
- Production Deployment Experience

Generative AI & RAG

- Retrieval Augmented Generation (RAG)
- Large Language Models (LLMs)
- Prompt Engineering
- Embedding Models
- Semantic Search
- Vector Databases
- Enterprise AI Solution Design

📌 AI/ML Developer (Noida)
🏢 Tech Mahindra
📍 Noida