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Automation Engineer Jobs in West Virginia (NOW HIRING)

Cotality

Senior Quality Automation Engineer

Charleston, WV · On-site

$107K - $150K/yr

Experience with advanced test automation framework development using Selenium; * Proficiency programming in Java and JavaScript; API Testing and Mastery: experience using Postman and automating * API ...

Hancock Whitney Bank

The Business Process Engineer (BPE) works directly with Business Stakeholders and Subject Matter Experts (SME) to understand, design, and execute Process-based Automation. This includes leading ...

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All JobsAutomation Engineer JobsAutomation Engineer Jobs in West Virginia

Automation Engineer information

See West Virginia salary details

$28.6K

$82.9K

$126.2K

How much do automation engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for automation engineer in West Virginia is $82,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $95,600.00 per year, depending on experience, location, and employer.

What is an automation engineer?

Automation Engineers are professionals who design, develop, and implement automated systems and processes to improve efficiency, quality, and productivity in various industries. They work with technologies such as robotics, control systems, and software to automate repetitive or complex tasks. Their responsibilities often include programming, troubleshooting, and maintaining automation equipment, as well as collaborating with other engineers to optimize workflows. Automation Engineers are employed in sectors like manufacturing, IT, automotive, and pharmaceuticals.

What does an automation engineer do?

As an automation engineer, your job is to design and develop automated machines for your company. Your responsibilities may include determining the best way to implement automation, creating devices that meet the company's needs and specifications, testing robots to ensure they perform as designed, and monitoring existing automation to check if repair or replacement is needed. Many duties of this job vary by industry. For example, automation engineers work in areas like the automotive industry, food preparation and packaging, electronics production, and appliance production, and each of these fields has different materials and objectives. However, regardless of industry, most automation engineers work with both hardware and software.

What are some common challenges automation engineers face when integrating new systems into existing workflows?

Automation Engineers often encounter challenges when integrating new automation solutions with legacy systems, including compatibility issues and data migration complexities. Coordinating with cross-functional teams—such as IT, operations, and production—can require extensive communication to ensure seamless implementation. Additionally, balancing the need for system reliability with innovation and minimizing downtime during transitions are key concerns. Proactively addressing these challenges through thorough planning and testing helps ensure successful integration.

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

To thrive as an Automation Engineer, you need a strong grasp of control systems, programming (such as PLC, Python, or C++), and a relevant engineering degree. Familiarity with automation platforms like Rockwell, Siemens, or SCADA systems, as well as certifications like ISA or relevant vendor-specific credentials, is highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with diverse teams and troubleshooting complex issues. These skills and qualifications are critical for designing efficient automated solutions, minimizing downtime, and ensuring seamless integration of systems.

What is the difference between Automation Engineer vs Control Systems Engineer?

AspectAutomation EngineerControl Systems Engineer
Required CredentialsBachelor's in Engineering, certifications like PLC or SCADABachelor's in Electrical, Mechanical, or Systems Engineering, similar certifications
Work EnvironmentManufacturing, industrial plants, automation companiesIndustrial facilities, manufacturing, process control environments
Employer & Industry UsageTech firms, manufacturing, automation service providersIndustrial sectors, process industries, automation firms
Common Search & Comparison IntentYesYes

The main difference between Automation Engineers and Control Systems Engineers lies in their focus areas. Automation Engineers typically design and implement automated systems across various industries, emphasizing software and hardware integration. Control Systems Engineers concentrate on designing and maintaining control systems for industrial processes, often with a stronger emphasis on control theory and hardware. Both roles require similar qualifications and are often found working in manufacturing and industrial environments, but their specific responsibilities and focus areas differ.

More about Automation Engineer jobs

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Automation Engineer jobs near you
Infographic showing various Automation Engineer job openings in West Virginia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $82,934 per year, or $39.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charleston, WV • On-site

Other

Re-posted 14 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