AVP, Artificial Intelligence

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 controls

Privacy‑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.

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