Hiring || Senior AI Engineer Azure (Pan India)

Summary: Designs, builds, and launches enterprise AI solutions on Microsoft Azure, focusing on generative AI, OCR, and intelligent document processing for business documentation.

Senior AI Engineer Azure

Summary

We are seeking a highly skilled Senior AI Engineer to architect, build, and launch robust enterprise-level artificial intelligence solutions leveraging the Microsoft Azure AI Foundry ecosystem, including Azure OpenAI and Azure AI Services. This role focuses heavily on Intelligent Document Processing (IDP), requiring deep proficiency in Generative AI, Machine Learning, Computer Vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and sophisticated Optical Character Recognition (OCR) technologies. The successful applicant will possess practical experience in handling intricate business documentation, ranging from invoices and contracts to engineering schematics, RFQs, purchase orders, and handwritten forms.

Location: PAN INDIA

Experience: 7-12 years

Responsibilities

• Architect and engineer enterprise AI and Generative AI applications utilizing Azure AI Foundry and Azure OpenAI.
• Create Agentic AI systems, AI copilots, conversational chatbots, and RAG-driven solutions using frameworks such as LangChain, Semantic Kernel, and Copilot Studio.
• Engineer advanced OCR and IDP workflows capable of managing structured, semi-structured, and unstructured data formats.
• Execute document classification, entity recognition, key-value pair extraction, handwriting analysis, and the extraction of data from multi-page tables.
• Leverage Azure AI Document Intelligence, Computer Vision, Form Recognizer, and proprietary OCR frameworks to drive solutions.
• Enhance OCR precision by applying image preprocessing methods including deskewing, noise reduction, thresholding, and layout analysis.
• Construct scalable AI infrastructure utilizing Azure Machine Learning, Azure AI Search, Azure Functions, AKS, Cosmos DB, and Azure Storage.
• Establish MLOps and LLMOps practices, including CI/CD pipelines, continuous model monitoring, and AI governance protocols.
• Facilitate the integration of AI capabilities with enterprise systems such as SAP, Oracle ERP, Salesforce, ServiceNow, SharePoint, and the Power Platform.
• Uphold standards for responsible AI, security, scalability, and regulatory compliance throughout the solution lifecycle.

### Requirements

• Experience: Minimum of 7 years in software development and AI engineering, with at least 4 years focused on Azure AI/ML and 3 years dedicated to enterprise OCR/IDP initiatives.
• Azure AI: Proficiency with Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence, Azure Cognitive Services, and Azure Machine Learning.
• Programming: Strong command of Python, REST APIs, Git, Docker, and Kubernetes.
• Generative AI: Expertise in LLMs, RAG architectures, Agentic AI, Prompt Engineering, LangChain, Semantic Kernel, and Vector Databases.
• OCR & IDP: Hands-on experience with invoice automation, contract data extraction, engineering drawing analysis, handwritten text recognition, form processing, layout detection, and table parsing.
• Computer Vision: Skills in document image processing, classification, and information extraction.
• DevOps: Familiarity with Azure DevOps, GitHub Actions, MLOps, and LLMOps methodologies.

Preferred Skills

• Experience with Microsoft Copilot Studio and the Power Platform.
• Knowledge of UiPath Document Understanding and ABBYY solutions.
• Proficiency in OpenCV, PyTorch, TensorFlow, and Hugging Face.
• Skills in Neo4j Knowledge Graphs and GraphRAG implementations.
• Experience with Microsoft Fabric.

Education & Certifications

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or a closely related field.
• Microsoft Azure AI certifications are highly desirable.

Ideal Candidate Profile

Applicants must demonstrate a track record of delivering production-ready AI solutions, specifically within Azure-based Intelligent Document Processing, advanced OCR, Generative AI, and enterprise document automation environments.