AI Solutions Architect (m/f/d)

Responsibilities

• Build AI-native solutions end-to-end, including agents, Retrieval-Augmented Generation (RAG) workflows, tool harnesses and evaluation frameworks
• Design fault-tolerant agent workflows with retries, fallbacks and human-in-the-loop mechanisms to ensure reliability
• Translate business and domain expertise into scalable, repeatable AI solutions
• Write robust production-grade Python code covering APIs, integrations and secure deployment
• Optimize retrieval and context engineering capabilities using vector databases, embeddings and hybrid search
• Develop observability tools with platforms such as LangSmith or Arize Phoenix to monitor performance
• Deploy solutions securely in cloud environments (AWS, Azure or GCP) using containerized deployments and CI/CD pipelines
• Conduct user testing and workflow analysis to validate real-world usability
• Collaborate with cross-functional teams to assess technical feasibility and shape use cases

Languages