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Automation Technologist Jobs in Virginia (NOW HIRING)

Automation Technician

South Chesterfield, VA ยท On-site

$41K/yr

The environment offers exposure to advanced automation technologies and complex material handling systems, providing strong opportunities for professional growth and skill development. The team ...

Showing results 41-60

Automation Technologist information

See Virginia salary details

$37.2K

$45.2K

$70.4K

How much do automation technologist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for automation technologist in Virginia is $45,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,600.00 and $41,600.00 per year, depending on experience, location, and employer.

What is an automation technologist?

Automation Technologists are professionals who design, implement, maintain, and troubleshoot automated systems used in industries such as manufacturing, energy, and process control. They work with hardware and software to ensure machines and processes operate efficiently and safely. Their role often includes programming controllers, integrating sensors, and optimizing systems to improve productivity and reduce human intervention. Automation Technologists bridge the gap between engineering and IT, making them vital for modern industrial operations.

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

To thrive as an Automation Technologist, you need a solid background in electronics, instrumentation, control systems, and a relevant diploma or degree in automation or engineering technology. Familiarity with programmable logic controllers (PLCs), human-machine interfaces (HMIs), SCADA systems, and relevant certifications such as ISA CAP or Siemens TIA Portal is typically required. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help you excel in this role. These skills ensure safe, efficient, and reliable automation of industrial processes, minimizing downtime and optimizing productivity.

What are some common challenges automation technologists face when integrating new systems into existing manufacturing environments?

Automation Technologists often encounter challenges such as ensuring compatibility between legacy equipment and modern automation solutions, minimizing downtime during installation, and training staff on new technologies. They must also troubleshoot integration issues and perform rigorous testing to ensure seamless operation. Effective communication with engineers, IT professionals, and production teams is essential to address these challenges and achieve successful system implementation.

What is the difference between Automation Technologist vs Automation Engineer?

AspectAutomation TechnologistAutomation Engineer
CredentialsTypically requires a degree in engineering, automation, or related fields; certifications like PLC or SCADA are commonSimilar credentials; often holds engineering degrees and certifications in automation systems
Work EnvironmentWorks in manufacturing, industrial plants, or automation service providersWorks in industrial, manufacturing, or process industries, often in design and development roles
Employer & Industry UsageUsed by manufacturing companies, automation service firms, and industrial facilitiesCommonly employed by engineering firms, manufacturing companies, and system integrators

Automation Technologists focus on implementing and maintaining automation systems, often working hands-on with equipment. Automation Engineers typically design, develop, and optimize automation processes. Both roles require similar credentials and work in related environments, but their primary responsibilities differ slightly, with technologists more involved in operational support and engineers in system design.

Infographic showing various Automation Technologist job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, and 27% Temporary. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $45,165 per year, or $21.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chesapeake, VA โ€ข On-site

Other

Re-posted 17 days ago


Key responsibilities

  • Design, develop, and implement automation solutions powered by Generative AI models.

  • Collaborate with teams to integrate AI-driven workflows and build pipelines for real-time AI inference and automation.

  • Monitor and optimize AI automation solutions to ensure accuracy, efficiency, and reliability.


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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.