Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Freelancer
- Location
- Nuremberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop tailored Generative AI solutions, implement scalable LLM applications, and work on integrating them into existing systems using modern technologies such as Python, Docker, and Kubernetes.
Job Technologies
Your role in the team
- Architecture, design, and technical implementation of modern Generative AI solutions.
- Development and integration of productive Large Language Model (LLM) applications.
- Development of scalable RAG and GraphRAG architectures.
- Development of AI agents and multi-agent systems.
- Implementation of Model Context Protocol (MCP), Tool Calling, and Function Calling.
- Design of LLM gateways, model routing, and multi-LLM architectures.
- Integration of AI solutions into existing enterprise and specialized applications.
- Development of high-performance Python services and REST APIs.
- Building container-based deployments with Docker and Kubernetes.
- Implementation of CI/CD, LLMOps, and Observability concepts.
- Development of technical architecture concepts and support for development teams.
- Close collaboration with business units and technical stakeholders.
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Our expectations of you
Education
- Technical university degree, ideally in Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics, or a comparable qualification.
Qualifications
- At least 2-3 successfully implemented projects in the field of Generative AI or Large Language Models.
- Deep technical understanding of modern Large Language Models (LLMs) and their architecture.
- Excellent knowledge of Retrieval Augmented Generation (RAG) and ideally GraphRAG.
- Knowledge in the use of vector databases, semantic search, and embedding technologies.
- Excellent knowledge of Python, FastAPI, REST APIs, and microservice architectures.
- Very good spoken and written German skills (at least C1).
- Knowledge in LLMOps, Monitoring, Observability, and AI Security.
Experience
- Several years of experience as an AI Solution Architect, GenAI Architect, or in a comparable technical architecture role.
- Practical experience in the development and integration of productive LLM solutions.
- Ideally, experience with fine-tuning, model adaptation, or evaluation of LLMs.
- Experience with AI Agents, Multi-Agent Systems, Model Context Protocol (MCP), Tool Calling, and Function Calling.
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or comparable technologies.
- Experience with Docker, Kubernetes, CI/CD, and production AI deployments.
- Experience with on-prem infrastructures, sovereign cloud, or comparable enterprise environments.
- Experience with Azure OpenAI, AWS Bedrock, Azure AI Foundry, Google Vertex AI, or comparable enterprise AI platforms.
- Experience with regulated IT environments (e.g., government agencies, healthcare, or financial sector).
- Experience with Knowledge Graphs and GraphRAG.
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What we offer
- Project location: Nuremberg (10% on-site / 90% remote).
- Start: asap.
- Volume: Full-time.
- Deadline with the client: ASAP.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
mindheads GmbH
mindheads GmbH is an independent company specializing in IT and personnel services, offering a wide range of services including the recruitment and placement of IT experts and executives, as well as planning and implementing IT infrastructure and software solutions.
Description
- Company Type
- Recruiting Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Lead AI Solution Architect / Lead GenAI Architect
- Location
- Nuremberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
