AI Architect

Responsibilities

• Own and drive the end-to-end architecture, from raw data ingestion to AI-powered advisory outputs
• Define and enforce clear contracts across all layers, including data assets, ontology and graph structures, financial DSL, LLM gateway, tool gateway, agent layer, and user experience
• Design systems with strong governance, ensuring all components are backed by documented architectural decisions (ADR/RFC) and traceable justification
• Build and deliver hands-on solutions, iterating incrementally while maintaining architectural consistency and quality
• Ensure all layers include robust verification mechanisms, including formal validation (where applicable), runtime checks, and auditability
• Collaborate with engineering, compliance, and client stakeholders to ensure the architecture meets regulatory, technical, and business requirements
• Maintain a defensible architecture aligned with responsible AI principles, including transparency, traceability, and controlled capability exposure

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