Overview

Vibracoustic is a leading global automotive supplier, providing customized solutions that add comfort to mobility by reducing noise and vibration in vehicles.

Responsibilities

• Build AI-enabled application components with Azure AI Foundry / Azure OpenAI, including RAG patterns, grounding strategies, and safe prompt designs.
• Design and implement Copilot solutions with Microsoft Copilot Studio, including conversational flows, prompt engineering, orchestration logic, plugins/actions, and required integrations.
• Develop backend services and extensibility components (APIs, custom connectors, automation) using JavaScript/TypeScript, C#, or Python; integrate with Microsoft Graph, Dataverse, Microsoft Fabric, Logic Apps, and M365 extensibility (e.g., Teams).
• Apply cloud-native and event-driven patterns—stateless services, scalability, environment separation, and asynchronous messaging (e.g., Azure Event Hubs).
• Deliver secure, end-to-end solutions covering authentication, authorization (Entra ID/RBAC/managed identities), environment strategies, lifecycle governance, and compliance with corporate data protection policies.
• Support DevOps and CI/CD for Copilot and AI assets: Git-based workflows, versioning, automated testing, GitHub Action pipelines, and environment promotion/release management.
• Implement monitoring, telemetry, analytics, and performance optimization using Azure Application Insights, Azure Monitor, and Power BI, ensuring reliability and continuous improvement.
• Apply Responsible AI practices — testing, evaluation, guardrails/safety, and continuous improvement of copilots and AI experiences.
• Translate business requirements into scalable, secure, and maintainable AI/Copilot architectures, producing design artifacts and implementation guidelines.
• Collaborate with product owners, architects, and business stakeholders; work with data engineers, platform, and security teams to deliver end-to-end solutions; provide documentation, best practices, and handover/enablement materials.
• Stay up to date with emerging technologies and industry trends and apply them to enhance software engineering processes and technologies for the organization’s

Qualifications

• University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong foundation in AI principles and methodologies or equivalent combination of education and experience
• more than five years in Data & AI Jobs; Business knowledge: None
• Microsoft Copilot Studio Experience with conversational design, prompt engineering, orchestration flows, and plugin/action development.
• Azure AI Foundry / Azure OpenAI solutions Practical implementation of prompt optimization, RAG, grounding strategies, vector search, and safe production usage
• Microsoft ecosystem integration Strong integration skills across Microsoft Graph, Microsoft Fabric, Dataverse, Logic Apps, and M365 extensibility (Teams, Outlook).
• APIs, connectors & automation Designing and building APIs, custom connectors, and automation workflows to extend Copilot and AI-driven solutions.
• Responsible AI & security fundamentals Secure-by-design AI solutions using Entra ID, RBAC, environment strategies, data access controls, and governance alignment. B. Software Engineering, Platform & Delivery
• Strong software engineering foundation Hands-on development using JavaScript/TypeScript, C#, or Python, with clean architecture and scalable patterns
• Cloud-native application architecture on Azure Stateless services, event-driven patterns, and integration with Fabric / OneLake–based data platforms.
• DevOps for AI and application solutions Git-based development, CI/CD pipelines, automated testing, and environment separation using GitHub Enterprise Cloud
• Monitoring, telemetry & observability Use of Application Insights, Azure Monitor, and analytics (e.g. Power BI) to operate and improve AI-enabled solutions.
• Business-facing solution delivery Ability to work with stakeholders, translate requirements into scalable Copilot and AI solutions, and iterate based on feedback. Nice to Have
• Azure OpenAI fine-tuning and advanced vector search patterns
• Power Platform UI extensions (Power Apps)
• FinOps-aware AI and application design
• Some of your Benefits
• Cafeteria/ Canteen: We offer fresh food on-site, both hot and cold.
• Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
• Health Insurance: Rely on comprehensive services whenever you need it.
• Meal Allowance: We offer an allowance that makes meals more affordable.
• On-site Medical Service: Our on-site medical service can handle a variety of medical needs.
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