Job Description

Working at Freudenberg: We will wow your world!

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

Must-Have Skills A. Copilot, AI & Microsoft Ecosystem Integration • 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
• Experience with hybrid Azure–Fabric architectures

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The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

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