Description
We are seeking an experienced AI Automation Engineer to design, build, and deploy enterprise AI solutions that improve business processes, automate workflows, and enable data-driven decision making. This role combines expertise in artificial intelligence, data engineering, cloud technologies, and automation to develop scalable solutions using the Microsoft AI and Azure ecosystem. The ideal candidate has strong hands-on experience with large language models (LLMs), Microsoft Copilot, Microsoft Fabric, and modern data architectures, along with a passion for applying AI to solve complex business challenges.

Key Responsibilities
AI Solutions & Automation
- Design, develop, and deploy AI-powered applications and automation solutions that improve operational efficiency and business outcomes.
- Implement Microsoft Copilot solutions and integrate AI models to deliver intelligent insights, natural language querying, and enhanced user experiences.
- Integrate Large Language Models (LLMs) and Generative AI services into business applications using APIs, connectors,



and workflow orchestration tools.
- Develop prompt engineering strategies, Retrieval-Augmented Generation (RAG) pipelines, AI agents, vector databases, and tokenization workflows to support enterprise AI initiatives.
- Evaluate emerging AI technologies and recommend creative solutions that align with business objectives.

Data Engineering & Analytics
- Design and maintain scalable Medallion Architecture data lakes (Bronze, Silver, Gold) within Microsoft Fabric.
- Develop ETL/ELT pipelines using Dataflows Gen2, Fabric Notebooks, PySpark, Python, and Azure Data Factory.
- Build enterprise-grade Power BI semantic models utilizing Direct Lake, DAX, and Kusto Query Language (KQL) to deliver high-performance analytics.
- Optimize data models, pipelines, and query performance to support large-scale reporting and AI workloads.
- Collaborate with business stakeholders to translate data requirements into scalab

📌 AI Automation Engineer (Mumbai)
🏢 Vinmar International
📍 Mumbai