As an AI and Automation Engineer, you will design, develop, and deploy intelligent solutions using Microsoft's cloud and AI technologies. You'll work across data science, machine learning, and cognitive services to build scalable, secure, and impactful AI systems that integrate seamlessly with enterprise-grade Microsoft platforms. Design and implement scalable machine learning models and AI solutions, specifically in MS Azure using MS AI products.Leverage Azure Open AI Service for generative AI applications.Integrate Cognitive Services (Vision, Speech, Language) into business workflows.Design data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.Ensure data quality, governance, and compliance using Microsoft Purview.Implement ML Ops practices using Azure ML, GitHub Actions, and DevOps Pipelines.Monitor model performance and retrain as needed using Azure Monitor and Application Insights.Integrate AI models into Power Platform appsCollaborate with cross-functional teams to identify opportunities for AI integration.Develop and maintain data pipelines and infrastructure for model training and deployment.Monitor and optimize model performance in production environments.Stay current with advancements in AI/ML technologies and apply them where appropriate.Ensure ethical and responsible AI practices, including bias mitigation and explainability.Document processes, models, and systems for transparency and reproducibility Implement and maintain unit testing frameworks to ensure code quality.Communicate effectively with stake holders and business units to better understand the need and ensure its being met through technical specifications.Create and maintain technical documentation for web applications, including setup, guides and BAU support transition documentation.