Summary Position:

Gen AI /

AI Architect MDM/RD Location:

Rochester, Minnesota(Open for Remote). Full Time 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 AI and regulated-data experience. Vertex AI or equivalent on Google Cloud Platform. MLOps and model monitoring. Employers have access to artificial intelligence language tools (\"AI\") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

10500016

Position Id:

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