AI Architect Lead
Location: Rochester, Minnesota(Open for Remote).
1+Year
Platform Focus: GenAI / Agentic Google Cloud Platform
Role Description
Define and govern practical AI/agentic capabilities that augment MDM/RDM delivery and stewardship without compromising PHI/PII controls, explainability, auditability or human decision rights.
Key Responsibilities
AI use cases such as mapping recommendations, duplicate/orphan detection, match explanation, DQ anomaly detection, impact analysis and natural-language discovery.
Define AI architecture, model selection, data access, prompt/context patterns, evaluation and MDM/RDM integration.
Design human-in-the-loop controls so AI never changes authoritative master/reference data without approved governance.
Define evidence and explainability for match, mapping and DQ recommendations.
Set AI privacy/security controls for PHI/PII, access, logging, retention and data minimisation.
Define evaluation datasets, accuracy thresholds, drift monitoring and production quality controls.
Lead AI proof-of-concept and transition successful use cases into governed production services.
Primary Deliverables
AI use-case portfolio and prioritisation
AI reference architecture
AI governance / guardrail specification
Evaluation framework and benchmark results
Pilot / production integration design
AI monitoring and operating model
Required Experience & Skills
8+ years in AI/ML architecture, including enterprise generative and agentic patterns.
Strong data architecture background and integration with data workflows.
Experience deploying approved models with human-in-the-loop controls.
Good to Have
Responsible-
AI and regulated-data experience.
Vertex AI or equivalent on Google Cloud Platform.
MLOps and model monitoring.
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