FEDERICO J. QUIJADA
AI GOVERNANCE ARCHITECTURE &
EXECUTIVE EDUCATION
AI Governance Architecture for High-Stakes Decisions
I help banks, insurers, and public-sector institutions design AI systems with assurance built in: verifiable, governable, and accountable from the first requirement.
Executive education: MIT Professional Education · Cornell · Cambridge
Doctoral research: Purdue University
About
I'm Federico J. Quijada, an AI governance architect and executive educator based in Chicago.
For more than twenty years I led technology programs at AIG, Blue Cross Blue Shield, Wells Fargo, and United Airlines, including a $6 million AI/ML program at United. That work taught me that what holds enterprise AI back is rarely capability. It is architecture.
My doctoral research at Purdue University focuses on memory-centric AI architecture for executive decision-making: systems where verification, accountability, and governance are designed in from the start rather than added after deployment. The architecture, SLMA (Structured Language Model Architecture), is patent-pending, with nine invention families filed through Purdue Research Foundation. I have presented this work at MIT (ICAD 2026) and at the AI Assurance & Governance Summit at Stanford, and I teach AI leadership in executive programs at MIT, Cambridge, and Cornell.
My legal training (JD, Villanova) means I treat governance and compliance as design requirements, not afterthoughts.
Education: Doctor of Technology (AI) candidate, Purdue University; Master of Liberal Arts, University of Chicago; ScM in Technology Leadership, Brown University; JD, Villanova University; BA, Saint Anselm College. Read the full background on the Research & Teaching page.
Executive Education
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MIT Professional Education
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University of Cambridge, ASCEND Program
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Cornell University, Chief AI Officer Program and AI Blueprint
I work with leaders responsible for AI in regulated, high-stakes environments.
AI Architecture & Assurance Advisory: design reviews and verification strategy for AI systems that inform consequential decisions.
AI Governance for Regulated Industries: governance frameworks for banking, insurance, and government advisory that hold up under scrutiny.
AI Contracting & Risk: aligning AI vendor contracts with how the technology actually works (data flows, subprocessors, traceability, and exit).
Executive AI Education: programs and workshops for C-suite and Chief AI Officer audiences.
Speaking: keynotes and panels on AI assurance, governance, and architecture.
Latest Writing
