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International Artificial Intelligence Engineer Jobs

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Orbotech

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

aires

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

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International Artificial Intelligence Engineer information

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$106.4K

$173.5K

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

As of Aug 15, 2026, the average yearly pay for international artificial intelligence engineer in the United States is $106,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an international artificial intelligence engineer?

To thrive as an International Artificial Intelligence Engineer, you need expertise in machine learning, data analysis, and software development, usually supported by a degree in computer science or a related technical field. Familiarity with tools such as TensorFlow, PyTorch, and experience with cloud platforms like AWS or Azure are highly valued, along with certifications in AI or data science. Strong cross-cultural communication, problem-solving skills, and adaptability help you navigate diverse teams and global projects. These abilities are crucial for developing scalable AI solutions that succeed across different markets and international environments.

What are some challenges unique to working as an international artificial intelligence engineer?

International Artificial Intelligence Engineers often navigate differences in data regulations, privacy laws, and ethical standards across various countries, which can add complexity to AI solution deployment. You may also encounter language barriers and the need to adapt algorithms or models to local data sets and user behaviors. Collaboration with multicultural teams and stakeholders requires sensitivity to cultural nuances and effective communication. Embracing these challenges helps you create AI systems that perform reliably and are compliant in global markets, making your work both impactful and dynamic.

What is an international artificial intelligence engineer?

An International Artificial Intelligence Engineer develops and implements AI models and solutions across global markets, ensuring they align with regional regulations, languages, and cultural contexts. They collaborate with international teams to optimize AI algorithms for diverse applications, such as natural language processing, computer vision, and machine learning. This role often involves researching emerging AI trends, deploying AI-driven systems, and addressing ethical challenges in different countries. Strong programming skills, cross-cultural communication, and knowledge of AI frameworks are essential for success in this position.

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International Artificial Intelligence Engineer jobs near you
Infographic showing various International Artificial Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Part Time. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $106,386 per year, or $51.1 per hour.

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV

$99K - $130K/yr

Full-time

Re-posted 18 days ago

Job 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.