AI Architect (with Python)
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AI Architect (with Python)
Anzeige auf Englisch
Gehalt85.000–125.000 € brutto/Jahr
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About the role
We are looking for an experienced AI Architect who combines strong software engineering skills with practical experience designing and delivering AI-powered solutions. This is a hands‑on role where you will define solution architecture while actively contributing to implementation using Python.
Responsibilities
- Design end-to-end AI solution architectures for enterprise environments
- Lead the technical design of Generative AI and Machine Learning solutions
- Build production-ready AI services using Python
- Define AI platform architecture, integration patterns and deployment strategies
- Design scalable RAG (Retrieval-Augmented Generation) solutions
- Select appropriate LLMs, vector databases and AI frameworks
- Collaborate with Software Engineers, Data Engineers, Data Scientists and business stakeholders
- Define security, governance and responsible AI best practices
- Review solution designs and mentor engineering teams
- Drive AI engineering standards and best practices across projects
Requirements
- 7+ years of software engineering experience
- 3+ years of commercial experience delivering AI or Generative AI solutions
- Expert-level Python programming skills
- Strong experience with LLM-based applications
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex or similar
- Experience designing RAG architectures
- Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, Azure AI Search or similar)
- Experience integrating AI services through APIs
- Knowledge of prompt engineering techniques
- Experience deploying AI solutions to cloud environments (Azure, AWS or GCP)
- Familiarity with containerization (Docker) and Kubernetes
- Experience with CI/CD and software architecture best practices
- Excellent communication and stakeholder management skills
- Fluent English - C1
Nice to have
- Experience with AI Agents and multi-agent systems
- Experience with MLOps or LLMOps
- Knowledge of Azure AI Foundry, Azure OpenAI, AWS Bedrock or Google Vertex AI
- Experience with evaluation and monitoring of LLM applications
- Relevant cloud or AI certifications
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