AVP, AI & ML Strategy & Delivery

Credit One Bank; Las Vegas (NV); On-site; USD 150,000 - 230,000; Full time

Job summary

Credit One Bank is seeking an AVP of AI to lead delivery of AI/ML capabilities within a regulated banking environment, directing a team of AI engineers and ML practitioners.

This role focuses on fraud detection, credit risk, personalization, and operational efficiency while upholding regulatory, privacy, and model risk requirements.

You will collaborate with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI and audit readiness across platforms in Las Vegas.

Qualifications

• 5–8+ years in AI/ML or data science.
• Experience with large-scale financial or transactional data is preferred.
• Experience leading AI/ML teams and delivering production-grade solutions.

Responsibilities

• Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
• Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
• Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
• Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
• Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
• Oversee model validation, explainability, bias testing, and audit readiness; translate financial use cases into scalable AI solutions.

Skills

Leadership

ML pipeline development

MLOps

Python

NLP

Communication

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree or MBA preferred

Tools

TensorFlow

PyTorch

Azure ML

AWS SageMaker

Kubernetes

Job description

Credit One Bank is seeking an AVP of AI to lead delivery of AI/ML capabilities within a regulated banking environment, directing a team of AI engineers and ML practitioners.

This role focuses on fraud detection, credit risk, personalization, and operational efficiency while upholding regulatory, privacy, and model risk requirements.

You will collaborate with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI and audit readiness across platforms in Las Vegas.