AI Enginner Data Governance

We’re Hiring AI Engineer – Data Governance Focus

Are you passionate about building AI-powered enterprise solutions that transform the way organizations manage data? We’re looking for an experienced AI Engineer with expertise in Data Governance, Machine Learning, Generative AI, and Azure to help drive next-generation AI solutions for enterprise data platforms.

Position : AI Engineer – Data Governance Focus

Experience 5–8+ Years

What You’ll Do

• Design and develop AI/ML solutions to automate enterprise data governance.
• Build AI applications using Large Language Models (LLMs) and Natural Language Processing (NLP) .
• Develop machine learning models for data classification, anomaly detection, metadata enrichment, and data quality.
• Deploy and monitor AI models using Azure Machine Learning , MLflow , and CI/CD pipelines.
• Integrate AI capabilities with Microsoft Purview , Databricks Unity Catalog , and enterprise data platforms.
• Drive Responsible AI practices, model governance, explainability, and compliance.
• Collaborate with Data Engineering, Data Governance, Product, and Business teams to deliver scalable AI solutions.

Required Skills

• Python
• Artificial Intelligence & Machine Learning
• Large Language Models (LLMs)
• NLP
• Generative AI
• Prompt Engineering
• Azure Machine Learning
• Databricks
• MLflow
• Microsoft Purview
• Data Governance
• Metadata Management
• Data Lineage
• Data Quality
• Azure Cloud
• MLOps
• CI/CD

Nice to Have

• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Semantic Search
• Power BI
• Power Automate
• SharePoint Integration
• Responsible AI & AI Governance
• GDPR / CCPA / DAMA DMBOK knowledge

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
• Azure AI or Data Engineering certifications are a plus.