Required skills
- Microsoft Azure AI Foundry
- Azure AI
- Agentic AI
- Multi-Agent Systems
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Azure OpenAI
- Azure AI Search
- Microsoft Agent Framework
- Architecture Blueprints
- Reference Architectures
- Microsoft Azure
- Terraform
- Azure Resource Manager
- Microsoft Entra ID
- AI Security
- Responsible AI
- AI Governance
Languages: German · English
Job description
Experienced Lead Architect needed to design and develop an enterprise-wide AI target architecture based on Microsoft Azure AI Foundry for an insurance client. The role focuses on integrating LLMs, RAG, and multi-agent systems, requiring extensive experience with Azure AI services and architecture blueprints.
Project overview
Lead Architect – Azure AI Foundry / Agentic AI, Remote and Cologne
Responsibilities
Profile
Technological Environment
Questions and profiles welcome at
Mr. Dong Chen
*
- Responsibility for the conception and further development of the AI target architecture based on Azure AI Foundry
- Design of complex multi-agent architectures including agent orchestration, tool calling, and workflow control
- Conception and architecture of RAG solutions including vector search, embeddings, hybrid search, and knowledge retrieval
- Development of architectural concepts for the use and integration of various LLMs
- Creation of architecture blueprints, reference architectures, and reusable design patterns
- Evaluation and selection of suitable AI technologies, frameworks, and architectural approaches
- Definition of architectural standards regarding security, governance, IAM, scalability, and performance
- Consideration of regulatory requirements, data protection, and AI governance in the insurance environment
- Technical consulting and management of development teams, as well as conducting architecture reviews
- Support of proof of concepts up to productive implementation
- Several years of experience as Lead AI Architect, Enterprise AI Architect, or Solution Architect
- In-depth knowledge of LLMs, RAG, Agentic AI, and multi-agent architectures
- Profound practical experience with Microsoft Azure AI Foundry and Azure OpenAI
- Experience in the design and setup of complex agent orchestrations and RAG architectures
- Very good knowledge of Azure AI Search, vector search, embeddings, and hybrid search
- Experience with agent frameworks such as Microsoft Agent Framework or comparable technologies
- Demonstrable experience in creating architecture blueprints and reference architectures, including concrete project references
- Knowledge of AI security, Responsible AI, guardrails, and AI governance
- Experience with enterprise architectures and ideally in the insurance or financial services sector
- Fluent German and English skills, both written and spoken
- Strong architectural, consulting, and communication skills, as well as an independent and structured way of working
- LLMs, RAG, Agentic AI, Multi-Agent Systems, AI Governance, Enterprise Architecture
- Cloud Platform: Microsoft Azure (focus on Azure AI Foundry, Azure API Management, Azure Resource Manager)
- Infrastructure as Code (IaC): Terraform, Bicep, Azure Resource Manager (ARM)
- CI/CD & Versioning: GitHub, GitHub Actions, Git Workflows
- Identity, Access & Security: Microsoft Entra ID (Azure AD), IAM role concepts, Cloud Security & Governance policies
- Architectural Paradigms: Agentic AI Platform Architectures, Platform Engineering, GitOps, Self-Service Platforms
- Collaboration & Agile: Jira, Confluence, collaborative version control (Pull Requests, Code Reviews)
Project details
from November/December 2026
31.05.2027 with option for extension
Remote with occasional presence in Cologne by arrangement
Contract Type: Services/Freelancing
Project Goal
For an insurance client, we are looking for an experienced Lead Architect (m/f/d) to conceptualize and develop an enterprise-wide AI target architecture based on Microsoft Azure AI Foundry.
The focus is on the architecture and integration of Large Language Models (LLMs), RAG-based solutions, and agent-based multi-agent systems. The goal is to develop a scalable, secure, and enterprise-wide AI architecture, taking into account enterprise and regulatory requirements.
A significant component is the creation of standardized architecture blueprints and reference architectures as a basis for the implementation of future AI use cases. The consultant should be able to present corresponding practical project references and already created blueprints.
- Start: ab sofort
- Duration: 6 Monate
- Remote: remote
- Location: Köln, Deutschland, DE
- Languages: German, English
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