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Ai Integration Engineer Jobs in Arkansas (NOW HIRING)

AI Engineer

Little Rock, AR ยท On-site

$109K - $131K/yr

Collaborate closely to integrate AI into user-facing interfaces Use APIs (e.g., OpenAI, Hugging Face) to embed intelligent features. Ability to make timely recommendations to effectively solve ...

(USA) Principal, Software Engineer

Lowell, AR ยท On-site

$110K - $220K/yr

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

(USA) Principal, Software Engineer

Johnson, AR ยท On-site

$110K - $220K/yr

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

Focused on reliability, scalability, and innovation, we integrate cloud-native architectures and AI ... Champion DevOps and CI/CD practices to maintain resilient, observable, and high-quality software ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

(USA) Principal, Software Engineer

Gravette, AR ยท On-site

$110K - $220K/yr

The Principal, Software Engineer leads the design and delivery of scalable platform capabilities ... AI integration enhances how associates engage with pay and benefits. The team prioritizes scalable ...

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Showing results 1-20

Ai Integration Engineer information

See Arkansas salary details

$36.8K

$102.8K

$143.5K

How much do ai integration engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai integration engineer in Arkansas is $102,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $115,800.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Arkansas?

For Ai Integration Engineer jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Arkansas look for?

The top searched job categories for Ai Integration Engineer jobs in Arkansas are:

What cities in Arkansas are hiring for Ai Integration Engineer jobs?

Cities in Arkansas with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Arkansas as of August 2026, with employment types broken down into 67% Full Time, 17% Part Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,764 per year, or $49.4 per hour.

Sr. OT System Integration Engineer

Challenge Manufacturing Holdings, Inc

Plant, AR โ€ข On-site

$95 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Who We Are

Challenge Manufacturingโ€™s mission is to manufacture with operational excellence by empowering our employee-owners. As a leading tier 1 supplier of complex metal assemblies for the global automotive industry, we drive innovative solutions for future mobility. We believe the best ideas come from individual unique perspectives. These ideas combined with the teamwork of industry leaders allow us to accomplish any challenge. Our team members take pride in the work we do and embody our core values of safety, ownership, and teamwork every day; they are the true driving force in our operations. Challenge is proud to be one of the largest employee-owned automotive companies in North America. One of the many benefits of joining the Challenge team is the ESOP program. This program allows Challenge to give shares of the Company to all employee-owners annually. These shares are an additional retirement benefit that will continue to grow during your time at Challenge. Being part of an ESOP means our employee-owners share in Challengeโ€™s success! Challenge is #QualityDriven and #PeoplePowered!

Who We Want

We are seeking an OT Systems Integration Engineer to lead the integration and standardization of OT systems across multiple automotive plants. This role will be the subject matter expert for Ignition SCADA/IIoT platforms, ensuring reliable data flow, cross-site standardization, and operational excellence. You will collaborate with Production, Engineering, IT, and OT teams to drive data-driven decision-making, predictive maintenance, and high-volume production support, while mentoring engineers and setting best practices for OT system integration.

What You Will Do
  • Lead design, implementation, and optimization of Ignition SCADA/IIoT platforms across multiple plants.
  • Serve as the primary subject matter expert for Ignition, integrating MES, SCADA, IIoT sensors, robotics, and PLC/HMI systems.
  • Establish cross-plant standardization of dashboards, KPIs, alarms, reports, and system configurations.
  • Oversee multi-plant deployment projects for MES/SCADA, IIoT, robotics, and automation systems.
  • Validate, test, and commission system interfaces, ensuring accurate and reliable data exchange.
  • Collaborate with IT to ensure secure OT/IT connectivity, including adherence to cybersecurity standards.
  • Monitor integration KPIs such as uptime, data accuracy, latency, and cross-site consistency.
  • Develop SOPs, documentation, and best practices for standardized Ignition and OT deployment.
  • Mentor and train OT engineers, automation technicians, and plant personnel on Ignition and multi-site OT standards.
  • Lead initiatives to integrate OT data with analytics platforms, predictive maintenance tools, and quality systems.
  • Evaluate emerging OT and Ignition-related technologies and recommend adoption across sites.
  • Support new vehicle program launches and plant expansions with Ignition-based OT system integration.
  • Troubleshoot complex multi-plant system integration and data flow issues, ensuring rapid recovery and minimal production impact.
  • Collaborate with robotics and automation teams for Ignition integration with PLCs, HMIs, and industrial robots.
Required Qualifications
  • Associates degree in Electrical, Mechanical, Mechatronics, Computer, or Industrial Engineering.
  • 3+ yearsโ€™ experience in industrial OT system integration, SCADA, or IIoT deployments.
  • Expert-level experience with Ignition SCADA/IIoT software, including dashboard development, scripting, alarms, and data integration.
  • Hands-on experience with MES, SCADA, IIoT, PLC/HMI systems, and robotics integration (Fanuc, ABB, Kawasaki, Rockwell).
  • Proven experience in multi-plant standardization and deployment of OT systems.
  • Knowledge of industrial protocols, OT/IT convergence, and cybersecurity standards.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to lead projects, mentor engineers, and collaborate with cross-functional teams.
Preferred Qualifications
  • Bachelorโ€™s degree in Data Analytics, Industrial Engineering, Computer Science, or related field.
  • 5+ yearsโ€™ experience in OT/automation system integration within automotive OEMs or Tier 1 suppliers.
  • Experience designing cross-plant dashboards, KPIs, and reporting frameworks in Ignition.
  • Familiarity with AI/ML applications for predictive maintenance and operational optimization.
  • Strong project management skills (PMP, Agile) for multi-site initiatives.
  • Expertise in integration with ERP (e.g., Plex), MES, SCADA, and IIoT systems.
  • Demonstrated success in automotive vehicle launches and high-volume production environments.
Benefits
  • Weโ€™re excited to offer a range of awesome benefits, including medical, dental, and vision insurance, a Health Savings Account with annual employer contributions, Flexible Spending Accounts, company-paid Short-Term Disability and Basic Life Insurance, Voluntary Life and Long-Term Disability options, an Employer 401k Match, ESOP shares, tuition reimbursement, a Referral Bonus Program, Challenge Incentive Program, and paid time off. Please note, while these benefits are part of what we offer, they may not all apply to this specific role. The details shared in this job description are intended to give you a general idea, but duties and responsibilities may evolve over time, with or without notice. And of course, weโ€™re happy to provide reasonable accommodations to help individuals with disabilities succeed in their role.

Challenge Manufacturingโ€™s mission is to manufacture with operational excellence by empowering our employee-owners. As a leading tier 1 supplier of complex metal assemblies for the global automotive industry, we drive innovative solutions for future mobility. We believe the best ideas come from individual unique perspectives. These ideas combined with the teamwork of industry leaders allow us to accomplish any challenge. Our team members take pride in the work we do and embody our core values of safety, ownership, and teamwork every day; they are the true driving force in our operations. Challenge is proud to be one of the largest employee-owned automotive companies in North America. One of the many benefits of joining the Challenge team is the ESOP program. This program allows Challenge to give shares of the Company to all employee-owners annually. These shares are an additional retirement benefit that will continue to grow during your time at Challenge. Being part of an ESOP means our employee-owners share in Challengeโ€™s success! Challenge is #QualityDriven and #PeoplePowered! Weโ€™re excited to offer a range of awesome benefits, including medical, dental, and vision insurance, a Health Savings Account with annual employer contributions, Flexible Spending Accounts, company-paid Short-Term Disability and Basic Life Insurance, Voluntary Life and Long-Term Disability options, an Employer 401k Match, ESOP shares, tuition reimbursement, a Referral Bonus Program, Challenge Incentive Program, and paid time off. Please note, while these benefits are part of what we offer, they may not all apply to this specific role. The details shared in this job description are intended to give you a general idea, but duties and responsibilities may evolve over time, with or without notice. And of course, weโ€™re happy to provide reasonable accommodations to help individuals with disabilities succeed in their role.

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