AI Solution Architect (m/w/d)
Core
Designing and evolving end-to-end AI/ML architecture for complex enterprise environments on Azure, ensuring production-ready, scalable, and compliant AI solutions.
Role type
Senior AI Solution Architect (Technical Lead)
Builds
Enterprise AI platforms, ML pipelines, RAG architectures, and MLOps strategies for public sector clients.
Domain
Public sector (Transportation & Energy) / Cloud AI / MLOps
Deliverable
production ML models
Required skills
Azure Machine Learning, Azure OpenAI Service, MLOps (MLflow, Kubeflow, Azure ML Pipelines), RAG architecture design, Prompt Engineering, Vector databases, LLM API integration, Orchestration frameworks (LangChain, LlamaIndex), CI/CD for ML, Python, Machine Learning frameworks (scikit-learn, PyTorch, TensorFlow), Enterprise architecture in cloud, Containerization/Orchestration (Docker, Kubernetes), Infrastructure as Code (Terraform), Observability (Prometheus, Grafana, Application Insights), Governance and Compliance frameworks (ISO 27001, NIS2, BSI, EU AI Act)
Preferred skills
Azure certifications, Experience in Energy sector (Predictive Maintenance, Time-series analysis), Public procurement knowledge (VgV, EVB-IT)
Responsibilities
Designing and evolving the AI/ML overall architecture on Azure as an Enterprise AI platform; Technical leadership of ML pipeline projects (Training, Deployment, Monitoring, Drift Detection) and RAG architecture optimization; Defining MLOps strategies including CI/CD for models, experiment tracking, and model registry; Technical leadership and coordination of interdisciplinary teams (ML/AI Engineers, LLM Engineers, MLOps Engineers); Consulting on AI Governance, Responsible AI, and EU AI Act compliance.
Seniority
Senior, hands-on IC with technical leadership
