AVP, Artificial Intelligence

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

Position Summary

The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.

Essential Job Functions

• 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.Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.

Position Requirements

Core AI Concepts and Technologies Required:

• Machine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
  • AI Engineering & MLOps
• AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
• Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
• Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controlsPrivacy‑preserving ML techniques (differential privacy, federated learning)
• Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
  • Excellent communication, problem‑solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Preferred

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 5-8 + years of experience in AI/ML or data science.
• Experience working with large‑scale financial or transactional data is preferred.

Credit One Bank, N.A. is a data‑driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at‑will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice.