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Google Rpa Jobs in Illinois (NOW HIRING)

Northern Base

Lead AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills UiPath, Microsoft Power Platform, enterprise RPA; Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI ...

Ashling Partners

Client Partner - Chicago

Chicago, IL · On-site

Deep, specialized knowledge of the Automation space and Hyperscaler ecosystems (including platforms like UiPath, Celonis, or Google Cloud), with a strong understanding of RPA, Agentic AI, intelligent ...

ULINE

Data Analyst

Waukegan, IL

Robotic Process Automation (RPA) experience strongly preferred. Benefits * Complete health insurance coverage and 401(k) with 6% employer match that starts day one! * Multiple bonus programs. * Paid ...

ULINE

Data Analyst

Glenview, IL

Robotic Process Automation (RPA) experience strongly preferred. Benefits * Complete health insurance coverage and 401(k) with 6% employer match that starts day one! * Multiple bonus programs. * Paid ...

Zebra Technologies

Cloud AI Engineer, Lead

Lincolnshire, IL · On-site

$58.75 - $78.50/hr

... Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic ... Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini ...

Caterpillar

Manufacturing Controls Engineer

Decatur, IL · On-site

$97K - $146K/yr

Robotic Process Automation (RPA): Working knowledge of developing/deploying automation solutions, analyzing workflows, testing, and using common RPA platforms (examples listed include Pega ...

Archer Daniels Midland

... robotic process automation (RPA). * Partner with ADM's enterprise AI, data engineering, and IT ... e.g., AWS, Azure, Google Cloud, Databricks) a plus. Experience * 12+ years of progressive ...

Wesco

Senior Analyst - Business Systems

Glenview, IL · On-site +1

NET, SQL, and Robotic Process Automation (RPA) tools * Troubleshoot, maintain, and enhance existing applications and databases (SQL Server) * Collaborate with cross-functional teams to implement ...

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How much do google rpa jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for google rpa in Illinois is $48.92, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $56.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google RPA position, and why are they important?

To thrive as a Google RPA (Robotic Process Automation) specialist, you need strong analytical abilities, programming knowledge (often in Python, Java, or JavaScript), and experience with RPA platforms such as UiPath or Automation Anywhere, typically supported by a relevant degree in computer science or IT. Familiarity with Google Cloud services, APIs, and certification in RPA tools are highly valuable. Excellent problem-solving skills, effective communication, and attention to detail are important soft skills for this role. These competencies enable you to design efficient automation solutions, collaborate with cross-functional teams, and drive digital transformation within an organization.

What is a Google RPA?

A Google RPA job typically involves designing, developing, and maintaining robotic process automation (RPA) solutions using Google's automation tools and technologies. Professionals in this role work to streamline business processes by automating repetitive tasks, improving efficiency, and reducing manual effort. They may use tools like Google Cloud’s AI and automation solutions to integrate RPA into workflows. The role often requires experience with scripting, API integrations, and cloud platforms.

What are typical daily responsibilities for a Google RPA specialist?

As a Google RPA specialist, your daily tasks often involve identifying business processes that can be automated, designing and deploying RPA workflows, and maintaining existing bots for optimal performance. You will routinely collaborate with business analysts and end-users to gather requirements, troubleshoot automation issues, and ensure solutions align with organizational goals. Additionally, you may participate in code reviews, document best practices, and provide training or support to non-technical stakeholders. The role combines technical development with process improvement and teamwork, ensuring business operations run efficiently and accurately.

What are popular job titles related to Google Rpa jobs in Illinois? For Google Rpa jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Google Rpa jobs in Illinois look for? The top searched job categories for Google Rpa jobs in Illinois are:
Google Rpa jobs near you
Infographic showing various Google Rpa job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $101,746 per year, or $48.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, IL • On-site

Other

Re-posted 16 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