AI Architect
Core
Designing end-to-end GenAI, RAG, and agentic AI solutions that integrate data, cloud, security, and governance for production environments.
Role type
Senior AI Solution Architect
Builds
GenAI platforms, RAG solutions, AI agents, LLM workflows, and enterprise AI architectures
Domain
Consulting, Financial Services, Public Sector, Regulated Industries
Deliverable
production ML models
Required skills
End-to-end AI architecture design, Technology selection and justification, Non-functional requirements definition (security, privacy, scalability), Architecture decision documentation, Cross-functional leadership, Cost modeling (FinOps)
Preferred skills
Experience in regulated environments (DNB, AFM, DORA, NIS2), EU AI Act knowledge, Model risk management, On-premise/hybrid deployment, Reference architecture creation, Azure Solutions Architect Expert, Azure AI Engineer, Databricks, TOGAF
Technologies
Microsoft Foundry, Azure OpenAI, Azure AI Search, Amazon Bedrock, Vertex AI, Microsoft Agent Framework, LangGraph, MCP, Databricks, Microsoft Fabric, Snowflake, Docker, Kubernetes, Azure Container Apps
Responsibilities
Design end-to-end AI architectures translating business needs into solution architectures, Make technology choices for models and platforms, Define production-ready non-functional requirements, Guide implementation and evaluate technical choices, Document decisions in architecture records
Seniority
Senior, hands-on IC with strategic oversight
