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Remote Workflow Automation Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

... MLOps workflows, model deployment, or AI-enabled infrastructure. * Strong coding and automation ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

... RAG), AI agents, and automation frameworks to solve real business challenges and improve ... Define and support data preparation, ingestion, and retrieval workflows that enable production AI ...

HirexHire

QA Engineer

Raleigh, NC · Remote

Raleigh, NC HQ (Remote) Industry: Government Technology (SaaS) Company Size: 50+ What They Do: Our ... automation coverage, streamlining workflows, and enhancing overall testing effectiveness.

HirexHire

QA Engineer

Raleigh, NC · Remote

Raleigh, NC HQ (Remote) Industry: Government Technology (SaaS) Company Size: 50+ What They Do: Our ... automation coverage, streamlining workflows, and enhancing overall testing effectiveness.

HirexHire

QA Engineer

Raleigh, NC · Remote

Raleigh, NC HQ (Remote) Industry: Government Technology (SaaS) Company Size: 50+ What They Do: Our ... automation coverage, streamlining workflows, and enhancing overall testing effectiveness.

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All JobsWorkflow Automation JobsRemote Workflow Automation JobsRemote Workflow Automation Jobs in Raleigh, NC

Remote Workflow Automation information

See Raleigh, NC salary details

$36K

$104.1K

$158.4K

How much do remote workflow automation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote workflow automation in Raleigh, NC is $104,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $120,100.00 per year, depending on experience, location, and employer.

What is remote workflow automation?

Remote workflow automation refers to the use of technology and software tools to automate business processes and tasks that can be managed from any location. This approach helps organizations streamline operations, reduce manual effort, and improve efficiency, especially for distributed or remote teams. By automating repetitive tasks, businesses can focus on higher-value work and maintain productivity regardless of team members' physical locations. Tools like Zapier, Microsoft Power Automate, and others are commonly used to set up these automated workflows.

What are some common challenges faced when managing workflow automation remotely, and how can they be addressed?

One common challenge in remote workflow automation roles is ensuring seamless communication and coordination across distributed teams, especially when automating processes that involve multiple departments. It's important to establish clear documentation, standardized procedures, and regular check-ins to keep everyone aligned. Additionally, remote professionals must be proactive in monitoring automated workflows for errors or inefficiencies, often requiring robust reporting tools and strong troubleshooting skills. Leveraging collaborative platforms and fostering a culture of transparency can help overcome these challenges and ensure smooth automation projects.

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

To thrive as a Remote Workflow Automation Specialist, you need strong analytical skills, process optimization experience, and a background in IT or business process management. Familiarity with automation tools like Zapier, Microsoft Power Automate, or UiPath, as well as relevant certifications, is typically required. Excellent communication, problem-solving, and self-management skills distinguish top performers in remote environments. These competencies enable efficient process streamlining, effective team collaboration, and successful automation project delivery from any location.

What is the difference between Remote Workflow Automation vs Remote Business Analyst?

AspectRemote Workflow AutomationRemote Business Analyst
Required CredentialsTechnical certifications (e.g., RPA tools, scripting)Business analysis certifications (e.g., CBAP, PMI-PBA)
Work EnvironmentFocus on automation tools, scripting, and process optimizationFocus on requirements gathering, process analysis, and stakeholder communication
Employer & Industry UsageTech companies, automation service providers, large enterprisesConsulting firms, finance, healthcare, and corporate sectors
Search & Comparison IntentAutomation, RPA, process improvementBusiness processes, requirements analysis, project management

Remote Workflow Automation specialists focus on implementing automation tools and scripting to streamline processes, often requiring technical certifications. Remote Business Analysts analyze business needs, gather requirements, and communicate with stakeholders. While both roles improve efficiency, they differ in technical depth and focus areas, with automation roles being more technical and analysis roles more strategic.

What are popular job titles related to Remote Workflow Automation jobs in Raleigh, NC?

For Remote Workflow Automation jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Workflow Automation jobs in Raleigh, NC look for?

The top searched job categories for Remote Workflow Automation jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Workflow Automation jobs?

Cities near Raleigh, NC with the most Remote Workflow Automation job openings:

Remote Workflow Automation jobs near you
Infographic showing various Remote Workflow Automation job openings in Raleigh, NC as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $104,136 per year, or $50.1 per hour.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 5 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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