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Artificial Intelligence Engineer Director Jobs (NOW HIRING)

SLB

Artificial Intelligence Engineer

Houston, TX · On-site

$99K - $133K/yr

The Domain AI Integration Engineer will be responsible for integrating advanced Artificial Intelligence and Generative AI capabilities into the company's domain software systems (e.g. Delfi, Lumi ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands ...

Epsilon

Artificial Intelligence Engineer

Irving, TX · On-site

$73K - $136K/yr

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

KLA-Belgium

$150 - $200/hr

## Artificial Intelligence EngineerApplylocations: Milpitas, CAtime type: Full timeposted on: Posted 5 ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

Triumph Enterprises, Inc

$150 - $200/hr

We are seeking an Artificial Intelligence Engineer to apply machine learning and large language models to cybersecurity operations and to own the evaluation methodology that determines whether an AI ...

Innovaccer Inc.

$150 - $200/hr

About the Role We are looking for an AI Engineer to join our growing AI team and help build ... The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn ...

Elio

Artificial Intelligence Engineer

San Mateo, CA · On-site

$139K - $183K/yr

You will serve as the software engineering leader within the AI team, establishing best practices for code quality, architecture, testing, and deployment while working closely with AI researchers to ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

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Artificial Intelligence Engineer Director information

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$73K

$194.7K

$254K

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

As of Sep 9, 2026, the average yearly pay for artificial intelligence engineer director in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Engineer Director vs Artificial Intelligence Engineer?

AspectArtificial Intelligence Engineer DirectorArtificial Intelligence Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; leadership experienceBachelor's or Master's in CS, AI, or related; technical skills
Work EnvironmentLeadership roles, strategic planning, team managementHands-on development, coding, model training
Employer & Industry UsageTech companies, R&D departments, startupsTech firms, research labs, AI startups
Common Search & ComparisonLeadership, strategy, managementTechnical skills, coding, model development

The main difference between an Artificial Intelligence Engineer Director and an Artificial Intelligence Engineer lies in their roles. The Director focuses on leadership, strategic planning, and managing AI teams, while the Engineer is primarily involved in technical development, coding, and building AI models. Both roles require strong technical backgrounds, but the Director also emphasizes management and organizational skills.

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Artificial Intelligence Engineer Director jobs near you

Artificial Intelligence Engineer

Washington, DC • On-site

Stock Group Analytics
IT Services • 1 - 10 employees
Learn more about Stock Group Analyticsexternal

$150 - $200/hr

Other

Posted 7 days ago

Job description

Position Summary

AI Engineers are responsible for designing, developing, and deploying machine learning models and intelligent automation solutions aligned with Government’s mission needs. These individuals work on the full AI/ML lifecycle from use case identification and prototyping through production deployment and sustainment, ensuring solutions are ethical, secure, and compliant with federal AI guidelines.

Key Responsibilities
  • Design, develop, and sustain AI/ML models for predictive analytics, computer vision, NLP, and other use cases
  • Identify and evaluate high-impact AI/ML use cases in collaboration with Government stakeholders
  • Execute rapid pilot projects in short sprints to demonstrate business value
  • Develop and deploy intelligent automation workflows integrating AI capabilities with RPA
  • Build and fine-tune Generative AI solutions including chatbots and copilot assistants
  • Implement Natural Language Processing (NLP) and Intelligent OCR solutions for unstructured data
  • Research emerging AI tools and techniques and recommend those that improve efficiency
  • Ensure AI outputs are interpretable and bias-mitigated in compliance with federal AI guidelines
  • Embed Responsible AI principles (transparency, fairness, explainability) in all deployments
  • Support establishment of AI Governance Framework and AI Governance Board
  • Integrate AI models into production systems with appropriate monitoring and logging
  • Document AI model architectures, training data, and performance metrics
Required Qualifications
  • Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field (Master's or Ph.D. preferred)
  • Experience: 5+ years of hands-on experience in AI/ML solutions development
  • Technical Skills:
    • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
    • Experience with cloud AI platforms (Azure Machine Learning, Azure OpenAI, AWS SageMaker)
    • Knowledge of NLP techniques and tools (spaCy, Hugging Face, NLTK)
    • Experience with computer vision frameworks and OCR technologies
    • Understanding of MLOps practices for model deployment and monitoring
    • Familiarity with RPA platforms (UiPath, Power Automate) for intelligent automation
  • Other Requirements:
    • Strong software development skills
    • Understanding of ethical AI and Responsible AI principles
Preferred Qualifications
  • Experience deploying AI solutions in federal government environments
  • Familiarity with FedRAMP High authorized cloud platforms (Azure Government)
  • Experience with Microsoft Copilot technologies and Azure OpenAI Service
  • Knowledge of AI governance frameworks and federal AI guidelines
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