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About the Role

You will develop agentic solutions on the Microsoft Azure AI Stack, from knowledge assistants to autonomous multi-agent systems and the responsible operation of productive AI applications for our clients. You will translate AI potentials into scalable, secure, and effective solutions and actively contribute to our reference architectures.

Responsibilities

• Develop agentic solutions on the Microsoft Azure AI Stack, including knowledge assistants, autonomous multi-agent systems, and responsible operation of productive AI applications.
• Translate AI potentials into scalable, secure, and effective solutions.
• Actively contribute to reference architectures.
• Design and implement custom solutions on the Azure AI Stack, including RAG systems, document intelligence, and LLM-powered process automations.
• Develop multi-agent architectures with modern frameworks like Semantic Kernel, AutoGen, or LangGraph.
• Integrate tools and data sources using open standards like MCP and A2A.
• Consistently work agentically with specialized agents along the AI engineering lifecycle.
• Establish quality gates for agent-assisted development and operational processes.
• Manage the productive operation of AI applications, from model selection, prompt management, and versioning to observability, token cost control, and scaling.
• Anchor security, data protection, and monitoring based on Microsoft governance tools.
• Ensure compliance with regulatory requirements.
• Accompany clients in envisioning workshops like 'Agent in a Day'.
• Prioritize use cases and develop pragmatic implementation roadmaps.
• Expand reference architectures and asset libraries within the team.
• Serve as a sparring partner for technical deep dives.

Requirements

• At least five years of experience in software development, AI solution development, or technical consulting.
• At least one year of experience with a specific focus on Azure AI or LLM applications in productive use.
• Securely utilize Azure OpenAI Service, Azure AI Foundry, and Azure AI Search.
• Possess well-founded experience with Infrastructure-as-Code and CI/CD in the Microsoft environment.
• Experience in developing productive AI solutions on the Microsoft AI stack.
• Solid knowledge of Python and/or C#/.NET.
• Understand the typical challenges of productive AI systems, from inference latency and prompt stability to model drift, evaluation, and cost control.
• Practical experience in the development and orchestration of AI agents with open integration standards like MCP.
• Ideally, experience in integrating agents into the development process.
• Understand the risks of generative AI, know common mitigation strategies and regulatory requirements (EU AI Act, GDPR).
• Have a feel for cost sensitivity in AI usage.
• Very good German and good English language skills enabling confident communication.

Skills

• Azure AI Stack
• LLM applications
• Infrastructure-as-Code
• CI/CD
• Python
• C#/.NET
• LLMOps
• AI agents
• MCP
• Responsible AI
• Governance
• EU AI Act
• GDPR

Experience Level

• Minimum five years of software development, AI solution development, or technical consulting experience
• Minimum one year of experience with Azure AI or LLM applications in productive use