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Artificial Intelligence Automation Engineer Jobs

University Of Florida

NY · On-site

GCREC is home to more than 20 faculty whose expertise spans artificial intelligence, automation, engineering, geomatics, horticulture, plant breeding, plant pathology, entomology, horticulture ...

Csat Solutions

Provide engineering support for medium- to large-scale automation and capital projects, including ... Evaluate emerging automation technologies, robotics, artificial intelligence, machine vision, and ...

Csat Solutions

Automation Engineer

Houston, TX · On-site

Provide engineering support for medium- to large-scale automation and capital projects, including ... Evaluate emerging automation technologies, robotics, artificial intelligence, machine vision, and ...

CSAT Solutions

Automation Engineer

Houston, TX · On-site

Provide engineering support for medium- to large-scale automation and capital projects, including ... Evaluate emerging automation technologies, robotics, artificial intelligence, machine vision, and ...

Phase2 Technology

Network Automation Engineer

Columbus, OH · On-site

$86K - $198K/yr

As an automation engineer at Booz Allen, you can use your technical skills to affect mission ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Booz Allen Hamilton

Automation Engineer

Columbus, OH

$86K - $198K/yr

Automation Engineer The Opportunity: We are seeking an experienced automation engineer for the ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Artificial Intelligence Automation Engineer information

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$37K

$107.1K

$163K

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

As of Sep 10, 2026, the average yearly pay for artificial intelligence automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

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

AspectArtificial Intelligence Automation EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in AI/MLBachelor's/Master's in CS, Statistics, or Data Science; certifications in data analysis
Work EnvironmentDevelops AI automation solutions, integrates AI into systemsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, automation firms, AI solution providersFinance, healthcare, marketing, research organizations

While both roles involve working with AI and data, the Artificial Intelligence Automation Engineer focuses on creating automated AI systems and integrating AI into workflows, whereas the Data Scientist primarily analyzes data to extract insights and build models. Their skills overlap but serve different core functions within AI and data-driven projects.

Is an artificial intelligence automation engineer in demand?

Artificial intelligence automation engineers are in high demand due to the increasing adoption of AI and automation technologies across industries. They typically require skills in machine learning, programming, and data analysis, and often find opportunities in tech companies, finance, healthcare, and manufacturing sectors.

What does an Artificial Intelligence Automation Engineer do?

An Artificial Intelligence Automation Engineer designs and develops AI-driven systems to automate processes and improve efficiency. They work with machine learning models, programming languages like Python, and tools such as TensorFlow or PyTorch to create intelligent automation solutions. The role often requires knowledge of data analysis, software engineering, and AI algorithms to implement scalable and effective automation systems.

Will AI take artificial intelligence automation engineer jobs?

Artificial Intelligence Automation Engineers design and implement AI-driven automation systems, and their roles are less likely to be replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing engineers to focus on complex problem-solving and system development. Staying current with AI and automation tools is essential for job security in this field.

What cities are hiring for Artificial Intelligence Automation Engineer jobs?

Cities with the most Artificial Intelligence Automation Engineer job openings:

What states have the most Artificial Intelligence Automation Engineer jobs?

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Artificial Intelligence Automation Engineer jobs near you

Artificial Intelligence Engineer

Washington, DC • On-site

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

$129K - $155K/yr

Other

Posted 9 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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