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Rpa Developer Jobs in Raleigh, NC (NOW HIRING)

Relias US

Manager, AI and Automation

Morrisville, NC · Hybrid

... RPA/workflow platforms, and related enterprise technologies. Build solutions directly where appropriate and coordinate Enterprise Applications, Revenue Technology, IT, Interface Engineering when ...

Amazon

Automation Engineer

Durham, NC · On-site

We drive continuous improvement, and maintain all of the robotics and material handling equipment ... of process or production environment related PLC-controlled automation and issue diagnosis ...

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Rpa Developer information

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$10

$49

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How much do rpa developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for rpa developer in Raleigh, NC is $49.07, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $56.30 per hour, depending on experience, location, and employer.

What is an RPA developer?

RPA Developers are professionals who design, build, and implement software robots (bots) to automate repetitive business processes using Robotic Process Automation (RPA) technology. They work with RPA tools such as UiPath, Blue Prism, or Automation Anywhere to create workflows that mimic human actions within digital systems. Their responsibilities often include analyzing processes for automation opportunities, developing and testing automation scripts, and maintaining deployed bots. RPA Developers collaborate closely with business analysts and IT teams to ensure that automated solutions are efficient, reliable, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as an RPA developer?

To thrive as an RPA Developer, you need strong programming skills in languages such as Python, .NET, or Java, and a solid understanding of process automation concepts, often supported by a relevant degree or RPA certification. Familiarity with leading RPA platforms like UiPath, Blue Prism, or Automation Anywhere, as well as experience with workflow design and integration tools, is typically required. Analytical thinking, problem-solving abilities, and effective communication skills help RPA Developers design efficient automation solutions and collaborate with stakeholders. These skills are critical for delivering reliable automation projects that optimize business processes and drive operational efficiency.

What are some common challenges faced by RPA developers when implementing automation solutions in existing business processes?

RPA Developers often encounter challenges such as integrating bots with legacy systems that may lack APIs, handling frequent changes in application interfaces, and ensuring robust error handling in automated processes. Collaborating closely with business analysts and process owners is crucial to accurately map workflows and identify potential exceptions. Additionally, maintaining clear documentation and adapting to evolving business needs are essential for long-term success in the role.

What is the difference between Rpa Developer vs Business Analyst?

AspectRpa DeveloperBusiness Analyst
Required CredentialsCertifications in RPA tools (e.g., UiPath, Automation Anywhere), programming skillsBusiness analysis certifications (e.g., CBAP), strong communication skills
Work EnvironmentDeveloping and testing automation scripts, coding in RPA platformsGathering requirements, analyzing business processes, stakeholder communication
Employer & Industry UsageTech companies, finance, healthcare, manufacturingConsulting firms, finance, healthcare, IT departments

While both roles work within the automation and process improvement space, Rpa Developers focus on building and maintaining automation scripts using RPA tools, requiring technical skills and coding knowledge. Business Analysts, on the other hand, analyze business needs, gather requirements, and facilitate communication between stakeholders and technical teams. Both roles often collaborate but serve different functions within projects.

Is RPA developer in demand?

RPA developers are in high demand as organizations seek to automate repetitive tasks using tools like UiPath, Automation Anywhere, and Blue Prism. The role requires skills in programming, process analysis, and automation tools, and job growth is expected to continue as digital transformation accelerates across industries.

What are the most commonly searched types of Rpa Developer jobs in Raleigh, NC?

The most popular types of Rpa Developer jobs in Raleigh, NC are:

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For Rpa Developer jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Rpa Developer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Rpa Developer jobs?

Cities near Raleigh, NC with the most Rpa Developer job openings:

Rpa Developer jobs near you
Infographic showing various Rpa Developer job openings in Raleigh, NC as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,067 per year, or $49.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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