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Remote Automation Engineer Jobs in Charleston, SC

Blackbaud

Principal Product Manager, Data and AI Products

SC · Remote

$117K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partners with engineering, design, program management, and vertical market teams to define and ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

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All JobsAutomation Engineer JobsRemote Automation Engineer JobsRemote Automation Engineer Jobs in Charleston, SC

Remote Automation Engineer information

See Charleston, SC salary details

$34.6K

$100.3K

$152.5K

How much do remote automation engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote automation engineer in Charleston, SC is $100,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $115,600.00 per year, depending on experience, location, and employer.

What is a remote automation engineer?

A Remote Automation Engineer is a professional who designs, develops, and maintains automated systems and processes, often working from a remote location rather than on-site. They typically focus on creating scripts, tools, and workflows that help improve efficiency, quality, and reliability in software development, IT operations, or industrial processes. Their responsibilities may include writing code for test automation, configuring CI/CD pipelines, and collaborating with remote teams to optimize business operations. Working remotely allows them to support projects in various locations while leveraging digital communication and collaboration tools.

What does a remote automation engineer do?

A remote automation engineer uses technology to streamline, improve, and automate the manufacturing process. Your responsibilities in this work from home position include QA duties, testing software, developing computer systems, simulating programs, and using sensors to get accurate measurements. Your duties construct the automation processes of a specific manufacturing process. The different processes you work with govern the delivery and production of the process. You streamline processes for maximum efficiency without violating regulations or sacrificing the quality of products.

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

To thrive as a Remote Automation Engineer, you need a solid background in software development, scripting languages (such as Python or JavaScript), and automation frameworks, typically supported by a degree in computer science or a related field. Familiarity with CI/CD pipelines, testing tools like Selenium or Jenkins, and certifications such as ISTQB or AWS Certified DevOps Engineer are often required. Strong problem-solving abilities, self-motivation, and clear communication are critical soft skills for collaborating effectively in a distributed environment. These competencies ensure efficient automation processes, seamless integration, and successful remote teamwork in fast-paced technology projects.

How do remote automation engineers typically collaborate with on-site teams to ensure project success?

Remote Automation Engineers often work closely with on-site teams through regular video meetings, collaborative project management tools, and shared documentation platforms. Clear communication is key, as remote engineers may need to coordinate testing schedules, troubleshoot issues in real-time, and provide virtual support during equipment installation or updates. It's common to use remote desktop software and cloud-based environments to access systems securely. Proactive communication and responsiveness help bridge the distance, ensuring that automation projects stay on track and meet quality standards.

What is the difference between Remote Automation Engineer vs Remote Software Developer?

AspectRemote Automation EngineerRemote Software Developer
Required CredentialsBachelor's in Engineering, certifications in automation tools (e.g., PLC, SCADA)Bachelor's in Computer Science or related, coding certifications (e.g., Java, Python)
Work EnvironmentIndustrial settings, control systems, manufacturingOffice or remote, software development environments
Employer & Industry UsageManufacturing, industrial automation companiesTech companies, startups, software firms
Common Search & ComparisonAutomation, control systems, industrial processesProgramming, app development, coding projects

Remote Automation Engineers focus on designing and maintaining automation systems in industrial environments, requiring engineering credentials and knowledge of control systems. Remote Software Developers primarily write and maintain software applications, with a focus on coding skills and software development tools. While both roles can be remote, their industries, tools, and expertise areas differ significantly.

Are remote automation engineers in demand?

Remote automation engineers are in high demand due to the increasing adoption of automation technologies across industries. They are sought after for their skills in scripting, programming, and working with tools like Python, Jenkins, and Selenium, often requiring certifications and experience with cloud platforms. The role offers opportunities for flexible work arrangements and competitive salaries in the tech sector.

Can remote automation engineers work remotely?

Yes, remote automation engineers can work remotely, as many companies offer flexible work arrangements for this role. The job typically involves using automation tools, scripting, and cloud platforms, which can be managed from any location with internet access. However, some positions may require on-site presence for specific tasks or team collaboration.
More about Remote Automation Engineer jobs

What are the most commonly searched types of Automation Engineer jobs in Charleston, SC?

The most popular types of Automation Engineer jobs in Charleston, SC are:

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For Remote Automation Engineer jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Remote Automation Engineer jobs in Charleston, SC look for?

The top searched job categories for Remote Automation Engineer jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Remote Automation Engineer jobs?

Cities near Charleston, SC with the most Remote Automation Engineer job openings:

Remote Automation Engineer jobs near you
Infographic showing various Remote Automation Engineer job openings in Charleston, SC as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $100,251 per year, or $48.2 per hour.

Senior AI Solutions Architect (Remote Opportunity)

VetsEZ

Charleston, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities:
  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
  • Evaluate AI technologies, services, and frameworks to support current and future project needs.
  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
  • Optimize AI architectures for scalability, operational cost, reliability, and response time.
  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  • Design integration between AI services and existing enterprise healthcare applications.
  • Define secure interfaces utilizing REST APIs and modern integration patterns.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.
  • Promote consistent architecture patterns and engineering best practices across JLV development teams.
  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering, source-grounded AI evaluation, and hallucination testing
  • Vector databases, embeddings, and semantic search
  • REST APIs and enterprise integration
  • Cloud architecture and distributed systems
  • DevSecOps and CI/CD
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of enterprise architecture principles and cloud-native application design.
  • Experience balancing AI performance, scalability, security, explainability, and operational cost.
  • Excellent analytical, architectural, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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