← WorkMundi · 1M+ jobs from around the world, liveSign inCreate free account

Lead Solution Architect - Agentic AI Platform (f/m/d)

Uniqa

📅 11/08/2026
🔔 Alert me about jobs like this
No password, no sign-up. Just the email — and you can leave the list anytime.
🔓 Apply — free →
Opens this job on WorkMundi. The account is free and takes under a minute.

View and apply on WorkMundi →

🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Competencies: [[mfield2]] As one of the leading insurance companies, we know that together we can achieve more. At UNIQA, we are therefore the community for a better life. We use our individual skills to shape a better future together. Tell us about your strengths and apply at UNIQA IT Services GmbH (UITS), the IT service provider of the UNIQA Group, as [[extTitle]]. Own the end-to-end solution architecture of the Agentic AI Platform and ensure that it is scalable, secure, reusable, operable, and aligned with enterprise architecture standards. Provide technical direction to development and DevOps teams so that platform capabilities are implemented consistently, maintainably, and in line with the agreed target architecture. What to expect: Define and maintain the target architecture for the Agentic AI Platform across agent runtime, orchestration, tool integration, MCP servers, model access, RAG, memory, guardrails, observability, and developer enablement Translate business and use case requirements into reusable platform capabilities, architecture patterns, and implementation guidance Guide developers on architectural implementation topics such as modular platform design, agent orchestration, MCP patterns, API contracts, RAG architecture, memory design, and framework integration Guide DevOps engineers on platform runtime topics such as deployment architecture, environment design, CI/CD, observability, scalability, resilience, security controls, and operational readiness Review and challenge technical designs, implementation concepts, infrastructure designs, and platform integration patterns Ensure clear separation between shared platform capabilities, reusable frameworks, and use case-specific implementation logic Define architecture standards for agent-to-tool integration, system connectivity, model access, policy enforcement, logging, tracing, auditability, and human-in-the-loop integration Assess technology choices, including open-source AI frameworks, agentic AI frameworks, cloud services, orchestration approaches, and platform runtime components Identify and manage architecture risks, dependencies, technical debt, non-functional requirements, and design trade-offs Maintain architecture documentation, decision records, reference architectures, and implementation guidelines for platform teams and use case teams What we expect: Strong experience in enterprise architecture, solution architecture, or platform architecture for complex software platforms Good hands-on understanding of software engineering, preferably including Python-based backend development, APIs, distributed systems, and modular platform design Solid understanding of DevOps, CI/CD, infrastructure-as-code, cloud-native deployment, container platforms, observability, and operational readiness Deep understanding of agentic AI concepts, including agent orchestration, tool use, planning, routing, MCP, RAG, memory, evaluation, guardrails, and model access patterns Good knowledge of open-source AI and agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, CrewAI, or comparable frameworks Experience with cloud architecture, preferably Azure, including identity, networking, security, monitoring, and scalable runtime design Strong knowledge of API design, event-driven integration, enterprise integration patterns, schema design, and interface contracts Understanding of security, IAM, data protection, auditability, compliance, model access control, policy enforcement, and responsible AI requirements Ability to guide developers and DevOps engineers with technically precise architecture direction while avoiding unnecessary implementation micromanagement Strong communication skills and ability to explain architecture decisions, trade-offs, risks, and standards to technical and non-technical stakeholders At UNIQA, we embrace diversity and consciously foster different perspectives in our teams and leadership positions. We therefore explicitly welcome applications that enrich our diversity. We are striving to increase the proportion of women in leadership positions as well as in technical areas and particularly welcome applications from women. If you have any questions regarding accessibility, please contact the person listed in the advertisement on the right-hand side. You are not sure if you meet our requirements? Apply anyway! UNIQA is looking for candidates with drive, courage to change and enthusiasm! Benefits: [[mfield1]]
Read the rest of the job →

Similar jobs

Job on WorkMundi — the world's largest job board. See more jobs from every continent, updated live.

📢
🎁

Before you apply, rehearse this interview.

Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card.

I want my training →