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Artificial Intelligence Engineer Manager Jobs (NOW HIRING)

A. , quotato alla Borsa di Milano, è alla ricerca di un/a AI Engineer con un forte orientamento alla progettazione agentica . La risorsa avrà il compito non solo di scrivere prompt efficaci, ma ...

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 ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$107K - $128K/yr

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 ... Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... our hiring managers. If you are concerned that a communication, an interview, an offer of ...

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Artificial Intelligence Engineer Manager information

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$46.5K

$146.9K

$174K

How much do artificial intelligence engineer manager jobs pay per year?

As of Jun 6, 2026, the average yearly pay for artificial intelligence engineer manager in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Engineer Manager vs Data Scientist?

AspectArtificial Intelligence Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads AI teams, manages projects, collaborates with engineeringAnalyzes data, builds models, interprets insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

The Artificial Intelligence Engineer Manager oversees AI projects and teams, focusing on leadership and strategic implementation. In contrast, Data Scientists primarily analyze data and develop models to extract insights. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

More about Artificial Intelligence Engineer Manager jobs
What cities are hiring for Artificial Intelligence Engineer Manager jobs? Cities with the most Artificial Intelligence Engineer Manager job openings:
What are the most commonly searched types of Artificial Intelligence Engineer jobs? The most popular types of Artificial Intelligence Engineer jobs are:
What states have the most Artificial Intelligence Engineer Manager jobs? States with the most job openings for Artificial Intelligence Engineer Manager jobs include:
What job categories do people searching Artificial Intelligence Engineer Manager jobs look for? The top searched job categories for Artificial Intelligence Engineer Manager jobs are:
Infographic showing various Artificial Intelligence Engineer Manager job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Lead Artificial Intelligence Engineer

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV

$99K - $130K/yr

Full-time

Posted 8 days ago


Job description

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 building scalable, explainable, and compliant AI models for fraud detection, credit risk, customer analytics, and operational intelligence.

Essential Job Functions
  • Develop, train, and optimize ML, deep learning, and Generative AI models.
  • Implement data pipelines, feature engineering, and model inference services.
  • Deploy and monitor models using enterprise MLOps practices.
  • Support model explainability, bias analysis, and regulatory documentation.
  • Collaborate with data engineers, risk, and compliance teams.
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
    • 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
Preferred
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 3–7 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.