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The Oaks, Pittsburgh, PA, USA
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Key Responsibilities • Define technical frameworks and controls for responsible AI adoption. • Translate AI policies and risk requirements into implementable engineering controls. • Establish controls around model access, data usage, prompts, outputs, logging, and monitoring. • Develop AI risk-assessment and use-case classification approaches. • Establish model and solution evaluation criteria before production release. • Implement controls for data privacy, security, access management, and sensitive information. • Establish mechanisms for AI observability, traceability, auditability, and human oversight. • Define testing approaches for AI-related risks such as hallucination, harmful outputs, inappropriate data exposure, and model performance degradation. • Establish model inventory and governance requirements. • Partner with cybersecurity, privacy, legal, compliance, risk, data governance, and engineering teams. • Develop automated governance checks wherever feasible within the AI delivery lifecycle. Required Skills • Strong experience in technology risk, security engineering, model governance, AI governance, or related disciplines. • Understanding of GenAI/LLM architecture and associated enterprise risks. • Experience implementing technical controls and governance frameworks. • Knowledge of privacy, data protection, access control, audit, security, and risk-management principles. • Ability to translate governance requirements into actionable technical designs. • Strong stakeholder management capabilities. Preferred Experience • 8+ years in security, risk, governance, AI/ML, or related disciplines. • Experience with responsible AI and AI model governance. • Experience within financial services or another regulated industry strongly preferred
Any Gradute
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