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Job description
Position Summary
The Vice President of Artificial Intelligence (VP of AI) will lead enterprise‑wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.
Essential Job Functions
Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
Identify high‑impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
Implement enterprise‑wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat‑defense mechanisms.
Promote cross‑functional collaboration through transparency, communication, and evangelism of AI capabilities.
Build and manage high‑performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
Support annual planning, budgeting, strategic roadmaps, and executive‑level presentations for AI programs.
Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
Perform other duties as assigned.
Position Requirements
Bachelor’s degree in computer science, engineering, data science, or related field. Master’s or PhD preferred.
12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
Proven ability to lead and inspire diverse technical teams.
Ability to drive outcomes, influence strategic decisions, and deliver business value.
Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
Preferred Skills
Core AI Concepts and Technologies Required
Supervised, unsupervised, reinforcement learning
Deep learning (CNNs, RNNs, Transformers)
Natural Language Processing (NLP) & LLMs
Generative AI (diffusion models, fine‑tuning, RAG)
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
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) and may terminate the employment relationship at any time, with or without cause and with or without notice.
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Worksite address
las vegas, NV, 89105, US
Who can apply
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