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Automation Engineer Manager Jobs in Arkansas (NOW HIRING)

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Automation Engineer Manager information

See Arkansas salary details

$30.6K

$88.6K

$134.8K

How much do automation engineer manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for automation engineer manager in Arkansas is $88,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $102,100.00 per year, depending on experience, location, and employer.

What does an automation engineer manager do?

An Automation Engineer Manager oversees teams responsible for designing, implementing, and maintaining automated systems within an organization. They coordinate projects, manage resources, and ensure that automation initiatives align with business goals. Their role involves both technical leadership—such as guiding the selection of automation tools and methodologies—and managerial duties, including training, performance evaluations, and cross-department collaboration. Ultimately, they work to increase efficiency, reduce costs, and improve process reliability through effective automation strategies.

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

To thrive as an Automation Engineer Manager, you need a solid background in automation engineering principles, project management, and leadership, typically supported by a relevant engineering degree and significant industry experience. Familiarity with PLCs, SCADA systems, robotics, industrial control software, and certifications like PMP or Six Sigma is highly valuable. Outstanding communication, problem-solving, and team-building abilities help drive project success and foster effective collaboration across departments. These skills and qualifications are essential for delivering efficient automation solutions, ensuring project quality, and leading high-performing engineering teams.

What are some common challenges automation engineer managers face when leading automation projects?

Automation Engineer Managers often encounter challenges such as aligning project goals with business objectives, managing cross-functional teams with varying technical backgrounds, and ensuring clear communication between stakeholders. Balancing the need for innovative automation solutions with budget constraints and tight deadlines is also a frequent hurdle. Successful managers proactively address these challenges by fostering collaboration, setting clear expectations, and continuously monitoring project progress to adapt as needed.

What is the difference between Automation Engineer Manager vs Automation Engineer?

AspectAutomation Engineer ManagerAutomation Engineer
ResponsibilitiesOversees automation projects, manages teams, and aligns automation strategies with business goals.Designs, develops, and implements automation solutions; focuses on technical tasks.
Required SkillsLeadership, project management, automation tools, programming, and system integration.Technical skills in automation tools, scripting, and software development.
CertificationsOften includes certifications like PMP, automation-specific certifications, or management credentials.Certifications in automation tools, programming, or industry standards.
Work EnvironmentTypically in managerial settings, coordinating teams and projects.Hands-on technical work in labs, manufacturing, or software environments.

The Automation Engineer Manager focuses on leading automation teams and strategic planning, while the Automation Engineer concentrates on technical development and implementation. Both roles require technical skills, but the manager also needs leadership and project management expertise.

What do automation engineer managers get paid?

Automation engineer managers typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. They often oversee automation projects, manage teams, and require knowledge of programming, scripting, and automation tools like PLCs or robotics systems.

What are the most commonly searched types of Automation Engineer jobs in Arkansas?

The most popular types of Automation Engineer jobs in Arkansas are:

Automation Engineer Manager jobs near you
Infographic showing various Automation Engineer Manager job openings in Arkansas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $88,583 per year, or $42.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springdale, AR • On-site

Other

Re-posted 27 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply