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Artificial Intelligence Bank Jobs (NOW HIRING)

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

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Artificial Intelligence Bank information

What is an Artificial Intelligence Bank?

An Artificial Intelligence Bank is a financial institution that heavily incorporates AI technologies into its operations, services, and decision-making processes. These banks use AI to automate customer service, detect fraud, personalize financial products, and manage risk more efficiently. By leveraging AI, they can provide faster, more accurate, and more convenient banking experiences for customers. AI Banks may operate entirely online or as part of traditional banking institutions integrating advanced technologies.

How does an Artificial Intelligence professional typically collaborate with banking teams to implement AI solutions?

In the banking sector, Artificial Intelligence professionals work closely with cross-functional teams such as data analysts, IT specialists, product managers, and compliance officers. They participate in regular meetings to understand business needs, align AI initiatives with regulatory requirements, and ensure the smooth integration of AI models into existing banking systems. Collaboration often involves translating technical concepts into actionable insights for non-technical stakeholders, conducting model validation sessions, and providing ongoing support as AI solutions are deployed. This teamwork helps ensure the AI tools add tangible value while meeting security and compliance standards.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence (AI) Specialist in a bank, and why are they important?

To thrive as an AI Specialist in a bank, you need expertise in machine learning algorithms, data analysis, programming (such as Python), and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud computing platforms, and knowledge of data privacy regulations is typically required. Strong problem-solving abilities, communication skills, and adaptability help you collaborate across technical and non-technical teams. These skills ensure the successful integration of AI solutions that enhance operational efficiency, customer experience, and regulatory compliance in the banking sector.
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Artificial Intelligence Bank jobs near you
Infographic showing various Artificial Intelligence Bank job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 81% In-person, 14% Hybrid, and 5% Remote job distribution.
AVP, Artificial Intelligence

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV

Full-time

Posted 26 days ago

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 RequirementsCore 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. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.