AI Architect Lead

Position: AI Architect Lead

Open for Remote

Platform Focus GenAI / Agentic Google Cloud Platform

Full Time Only

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.