production, including accuracy, stability, drift, and real-world effectiveness Embedding controls, monitoring, and validation within AI andMLsolutions to ensure safe and compliant decision-making Ensuring the technical integrity, resilience, and scalability of AI systems in alignment with enterprise architecture standards Ensuring models are explainable, auditable, and compliant with … governance requirements, working in partnership with Model Risk and Assurance Enabling the automation of decision-making through AI and reducing reliance on manual intervention Building and leading a high-performingMLengineering capability, including hiring, development, and technical progression of team members The skillsyou'llneed We’relooking for someone with ...