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Rpa Jobs in Springfield, IL (NOW HIRING)

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Indirect Tax Analyst

Springfield, IL · On-site +1

$101.50K - $156.75K/yr

Advanced technology experience with RPA or ETL tools (e.g. Alteryx, Tableau, UIPath, OracleBI). Experience with tax engines (e.g. Avalara, Vertex, OneSource). Experience with ERPs (e.g. Oracle, SAP)

Eaton

Manufacturing Engineering Manager

Lincoln, IL · On-site

$97K - $143K/yr

Ensure manufacturing processes meet or exceed Eaton MESH safety and quality standards. * Drive Lean ... Lead capital and automation projects, including equipment selection, tooling, fixtures, robotics ...

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$35

$59

$77

How much do rpa jobs pay per hour?

As of May 29, 2026, the average hourly pay for rpa in Springfield, IL is $59.67, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $66.73 per hour, depending on experience, location, and employer.

What Are the Qualifications to Get a Job in RPA?

The qualifications to get a job in RPA include a college degree and significant technical knowledge. A bachelor’s degree in computer science, electronic engineering, data science, or statistics is often necessary. You need specific skills related to machine learning, building algorithms, and handling large amounts of data. Previous experience programming or analyzing data is essential, and language skills in C++, Java, Python, and enterprise application software such as SAP are necessary for most jobs in RPA. You also need excellent time management, verbal and written communication, and analytical thinking skills.

What are the key skills and qualifications needed to thrive as an RPA (Robotic Process Automation) Developer, and why are they important?

To thrive as an RPA Developer, you need strong programming skills (such as in C#, .NET, or Python), process analysis abilities, and a solid understanding of business workflows, often supported by a degree in computer science or a related field. Proficiency with RPA platforms like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications, are typically required. Attention to detail, problem-solving abilities, and effective communication help RPA Developers deliver efficient automation solutions and work well with stakeholders. These skills and qualities are crucial for designing reliable bots, optimizing processes, and ensuring successful automation initiatives within organizations.

What are some common challenges faced by RPA professionals when implementing automation solutions, and how can they be addressed?

RPA professionals often encounter challenges such as integrating bots with legacy systems, managing change resistance among staff, and ensuring robust error handling in automations. To address these, it's helpful to involve IT and business stakeholders early, perform thorough process mapping, and design bots with clear exception management strategies. Regular communication and training for end users also play a key role in smoothing the transition and ensuring long-term success of automation initiatives.

What is RPA (Robotic Process Automation)?

RPA, or Robotic Process Automation, is a technology that uses software robots or 'bots' to automate repetitive and rule-based tasks usually performed by humans in business processes. These bots can mimic human actions such as logging into applications, entering data, and processing transactions, which helps organizations increase efficiency, reduce errors, and save time. RPA is widely used across various industries to streamline operations, improve accuracy, and allow employees to focus on more strategic work.

What is the difference between Rpa vs Business Analyst?

AspectRpaBusiness Analyst
Required CredentialsBasic programming knowledge, RPA certificationsBusiness analysis certifications, domain knowledge
Work EnvironmentAutomation development, software toolsStakeholder meetings, process analysis
Employer & Industry UsageIT, finance, healthcare for automation projectsBusiness processes, project management across industries
Common Search & ComparisonYesYes

Rpa professionals focus on developing automation solutions using RPA tools, requiring technical skills and certifications. Business Analysts analyze business processes, gather requirements, and facilitate communication between stakeholders. While Rpa specialists implement automation, Business Analysts ensure the solutions meet business needs. Both roles are essential in digital transformation projects but differ in technical depth and focus areas.

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Rpa jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, IL • Remote

Other

Posted 6 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