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Artificial Intelligence Fraud Jobs (NOW HIRING)

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 ... This role focuses on building scalable, explainable, and compliant AI models for fraud detection ...

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Artificial Intelligence Fraud information

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$29.5K

$114.3K

$167.5K

How much do artificial intelligence fraud jobs pay per year?

As of Aug 20, 2026, the average yearly pay for artificial intelligence fraud in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence fraud analyst?

An Artificial Intelligence Fraud Analyst is a professional who uses AI-powered tools and techniques to detect, prevent, and investigate fraudulent activities within digital systems. They analyze large datasets to identify suspicious patterns, design machine learning models to predict and flag potential fraud, and work closely with cybersecurity and compliance teams. Their role is crucial in industries like finance, e-commerce, and banking, where fraud detection and prevention are essential for protecting both organizations and customers.

What are the key skills and qualifications needed to thrive as an artificial intelligence fraud analyst?

To thrive as an Artificial Intelligence Fraud Analyst, you need strong analytical skills, experience in data science or machine learning, and a relevant degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python, fraud detection platforms, and certifications such as Certified Fraud Examiner (CFE) are typically beneficial. Exceptional problem-solving abilities, attention to detail, and strong communication help you interpret data patterns and collaborate with teams. These skills are essential for accurately detecting fraud, reducing financial losses, and maintaining organizational integrity in an evolving threat landscape.

How does an artificial intelligence fraud analyst typically collaborate with other departments to detect and prevent fraudulent activities?

Artificial Intelligence Fraud Analysts frequently work alongside teams from IT, cybersecurity, compliance, and customer service to identify suspicious patterns and respond to emerging threats. Collaboration is essential, as analysts must integrate AI-driven insights with on-the-ground knowledge from other departments to ensure comprehensive fraud detection. Regular cross-functional meetings and data sharing help refine detection models and promptly address new fraud tactics. This teamwork not only strengthens the organization’s defenses but also ensures that all stakeholders are aligned in fraud prevention strategies.

What is the difference between Artificial Intelligence Fraud vs Data Analyst?

AspectArtificial Intelligence FraudData Analyst
Required CredentialsKnowledge of AI, cybersecurity, and fraud detection certificationsDegree in statistics, mathematics, or related field; often certifications in data analysis
Work EnvironmentFinancial institutions, tech companies, cybersecurity firmsBusiness, finance, healthcare, or marketing sectors
Industry UsageDetecting AI-driven fraud activities, preventing cyber fraudAnalyzing data trends, generating reports, supporting decision-making

Artificial Intelligence Fraud specialists focus on identifying and preventing fraud involving AI systems, requiring cybersecurity and AI expertise. Data Analysts interpret data to inform business decisions, often working with large datasets across various industries. While both roles involve data and analytics, AI Fraud professionals specialize in fraud detection within AI environments, whereas Data Analysts focus on broader data analysis tasks.

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Cities with the most Artificial Intelligence Fraud job openings:

What states have the most Artificial Intelligence Fraud jobs?

States with the most job openings for Artificial Intelligence Fraud jobs include:

What job categories do people searching Artificial Intelligence Fraud jobs look for?

The top searched job categories for Artificial Intelligence Fraud jobs are:

Artificial Intelligence Fraud jobs near you
Infographic showing various Artificial Intelligence Fraud job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV • On-site

Full-time

Re-posted 24 days ago

Job description

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.

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