AI Automation Engineer
Vinmar International· Information Technology
About this role
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 innovative 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 scalable AI and analytics solutions.
Governance, Security & Platform Management
- Implement enterprise-grade governance, security, and compliance standards across Microsoft Fabric and Azure environments.
- Configure Row-Level Security (RLS), workspace governance, access controls, and data protection policies.
- Ensure solutions follow best practices for scalability, reliability, performance, and cost optimization.
- Partner with IT, business leaders, and development teams to establish AI governance and responsible AI practices.
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- 5+ years of experience in data engineering, AI development, analytics, or cloud platform engineering.
- Experience designing and deploying enterprise AI and automation solutions in Microsoft Azure environments.
Technical Skills
- Advanced proficiency in:
- Python
- PySpark
- SQL
- Kusto Query Language (KQL)
- Strong experience with:
- Microsoft Fabric
- OneLake
- Lakehouse
- Data Warehouse
- Fabric Notebooks
- Power BI
- Azure Data Factory
- Delta Lake
- Experience building scalable ETL/ELT pipelines and modern data lake architectures.
AI & Automation Expertise
- Hands-on experience with:
- Large Language Models (LLMs)
- Microsoft Copilot
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI agent development and orchestration
- Vector databases
- Tokenization strategies
- AI APIs and workflow automation
- Knowledge of enterprise AI architecture, model integration, and responsible AI practices.
Preferred Qualifications
- Microsoft certifications such as:
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Fabric Data Engineer Associate
- Azure AI Engineer Associate
- Experience with Azure AI Foundry, Azure OpenAI Service, Microsoft Copilot Studio, or similar enterprise AI platforms.
- Familiarity with DevOps, CI/CD pipelines, Git, and Infrastructure as Code.
- Excellent analytical, problem-solving, and communication skills with the ability to collaborate across technical and business teams.
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Frequently Asked Questions
Is the salary disclosed for the AI Automation Engineer position at Vinmar International?
The salary for this AI Automation Engineer role at Vinmar International is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AI Automation Engineer position at Vinmar International located?
This AI Automation Engineer role at Vinmar International is based in Mumbai, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the AI Automation Engineer role at Vinmar International full-time or part-time?
This is listed as a Full time position. It is posted as a AI Automation Engineer role in the Information Technology department at Vinmar International.
Which team or department does the AI Automation Engineer at Vinmar International belong to?
This AI Automation Engineer position is part of the Information Technology department at Vinmar International. See the full job description for more information about the team structure and responsibilities.
How do I apply for the AI Automation Engineer position at Vinmar International?
Click the "Apply Now" button on this page. You will be redirected to Vinmar International's official application portal hosted on workable where you can submit your application directly.
When was the AI Automation Engineer job at Vinmar International posted?
This AI Automation Engineer position at Vinmar International was posted on Jul 9, 2026. Apply as soon as possible — early applications are often reviewed first.
AI Automation Engineer
Vinmar International
You'll be redirected to Vinmar International's official application page on workable.