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Artificial Intelligence Engineer Jobs (NOW HIRING)

Stock Group Analytics

$140 - $180/hr

Position Summary AI Engineers are responsible for designing, developing, and deploying machine ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field ...

KLA-Belgium

Artificial Intelligence Engineer

Milpitas, CA · On-site

$141 - $239/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 ...

eTeam

Artificial Intelligence Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Job Summary : eTeam is a company seeking an Artificial Intelligence Engineer to design, build, and deploy agentic AI systems using generative AI models and various frameworks. The role involves ...

SLB

Artificial Intelligence Engineer

Houston, TX

$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 ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$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 ...

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 ...

KLA-Belgium

$141 - $239/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 ...

Innovaccer Inc.

$140 - $210/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 ...

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Artificial Intelligence Engineer information

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How much do artificial intelligence engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for 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 does an Artificial Intelligence Engineer do?

An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer?

To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.

Is an artificial intelligence engineer still in demand?

Artificial intelligence engineers are currently in high demand due to the rapid growth of AI applications across industries such as technology, healthcare, and finance. The role requires skills in machine learning, deep learning, and programming languages like Python, with many organizations actively hiring to develop AI solutions.

What is an artificial intelligence engineer's salary?

The salary of an artificial intelligence engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What jobs do artificial intelligence engineers do?

Artificial intelligence engineers develop, implement, and optimize AI models and algorithms for applications such as machine learning, natural language processing, and computer vision. They work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and often collaborate with data scientists and software developers to create intelligent systems. Their responsibilities include data preprocessing, model training, testing, and deployment in various industries including tech, healthcare, and finance.
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Artificial Intelligence Engineer jobs near you
Infographic showing various Artificial Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 7% Part Time, and 20% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $106,386 per year, or $51.1 per hour.

Artificial Intelligence Engineer

Stock Group Analytics

On-site

$140 - $180/hr

Other

Posted 4 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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