Engineer AI and Machine Learning

About the Role We are looking for a hands on .NET Developer with Azure and AI exposure to build and enhance automation pipelines for intake engagement and mitigation tracking. The role focuses on transitioning workflows from semi automated to fully automated systems, ensuring reliability, scalability, and continuous delivery. Key Responsibilities Design and build automation pipelines for intake engagement and mitigation tracking Develop APIs and backend services using C# / .NET Implement and maintain Azure-based automation solutions using Azure Functions and Logic Apps Enable transition from semi automated to fully automated workflows Build and maintain CI/CD pipelines for deploying C# / Python code to Azure environments Develop or integrate AI Agents / AI-driven capabilities for automation and decision support Ensure high availability and redundancy so workflows are not dependent on individuals Collaborate with cross-functional teams to integrate tooling and improve operational efficiency Create dashboards and reports using Power BI for tracking and insights Required Skills Strong experience in C# and .NET / .NET Core for backend development Hands on experience with Azure services (preferably Functions, Logic Apps, App Services) Experience building REST APIs and automation frameworks Knowledge of AI/ML concepts or AI Agents (LLMs, automation, or orchestration frameworks) Experience in CI/CD pipeline setup (Azure DevOps or similar) Working knowledge of Python scripting Basic understanding of Azure Data Explorer (Kusto) Experience with Power BI for reporting and visualization Preferred Skills Experience with AI-driven automation or workflow orchestration Exposure to data pipelines, telemetry, or operational analytics (Kusto/Power BI) Familiarity with microservices architecture and cloud-native design patterns Experience with automation at scale in enterprise environments Experience 6–14 years of software development experience Prior experience in Azure-based development and automation solutions Exposure to AI-enabled applications or intelligent workflow systems Key Outcomes Fully automated and scalable pipeline for intake and mitigation tracking Reduced dependency on manual processes and individual resource availability Improved operational visibility and efficiency through automation and reporting Benefits Discretionary Annual Incentive Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans Family Support: Maternal & Parental Leaves Insurance Options: Auto & Home Insurance, Identity Theft Protection Convenience & Professional Growth: Co mmuter Benefits & Certification & Training Reimbursement Time Off: Vacation, Time Off, Sick Leave & Holidays Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing #J-18808-Ljbffr Tata Consultancy Services Limited