1

Robotic Process Automation Jobs in Michigan (NOW HIRING)

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time ... Apply cycle time improvement strategies to optimize robotic applications * Confirm robot models and ...

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time ... Experience with robotic and third party vision systems Other Details: * Must be able to travel 35 ...

$94K - $123K/yr

Required Qualifications Experience * 8+ years of experience in IT infrastructure, operations, or engineering roles. * 3+ years of handson experience with AI/ML platforms, intelligent automation, RPA, ...

Business Intelligence Analyst

Troy, MI · On-site +1

$75K - $75K/yr

Identify areas of opportunity for greater business efficiency; use python, RPA, and/or other tools to automate these processes * Develop reproducible scripting, reporting and analysis to keep a pulse ...

next page

Showing results 1-20

Robotic Process Automation information

See Michigan salary details

$44K

$94.1K

$150.4K

How much do robotic process automation jobs pay per year?

As of Jun 12, 2026, the average yearly pay for robotic process automation in Michigan is $94,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $113,700.00 per year, depending on experience, location, and employer.

What is the difference between Robotic Process Automation vs Business Analyst?

AspectRobotic Process AutomationBusiness Analyst
Primary RoleDesigning and implementing automation solutions to streamline processesAnalyzing business needs and defining requirements for projects
Required SkillsProgramming, scripting, process mappingData analysis, communication, process modeling
Work EnvironmentIT teams, automation labs, software development settingsBusiness units, project teams, consulting environments
CertificationsRPA certifications (UiPath, Automation Anywhere)CBAP, PMI-PBA, business analysis certifications

While Robotic Process Automation specialists focus on creating automation solutions to improve efficiency, Business Analysts concentrate on understanding business needs and defining project requirements. Both roles often collaborate but serve different functions within an organization.

What does it mean if someone is robotic?

In the context of Robotic Process Automation (RPA), describing someone as robotic typically means they perform tasks in a mechanical, repetitive, or emotionless manner, similar to how automated software bots operate. RPA professionals often design and manage software robots to handle routine tasks efficiently, emphasizing precision and consistency in work processes.

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

To thrive as a Robotic Process Automation Specialist, you need expertise in process analysis, workflow design, and proficiency in programming or scripting languages, often supported by a degree in computer science or a related field. Familiarity with leading RPA platforms such as UiPath, Blue Prism, or Automation Anywhere, and certifications in these tools, are typically required. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These capabilities are essential for designing efficient automation solutions, ensuring seamless integration, and maximizing business productivity.

What Are Robotic Process Automation Jobs?

Robotic process automation (RPA) is the technical design or training of a software robot or artificial intelligence (AI) entity to code, develop, configure, and test software, often to replace individual software developers. The responsibilities of an RPA professional may be to consult with businesses or clients to develop process automation procedures. There are also technical design jobs where duties are to write code to create an AI or software robot that can perform automated processes or tasks, such as working in a scripting language to create components for a larger programming job. Qualifications often include a bachelor’s or master’s degree in computer science, statistics, engineering, or a closely related field as well as experience.

When was the first human killed by a robot?

The first recorded human death caused by a robot occurred in 1979 when a factory worker was struck by a robotic arm at a manufacturing plant. Robotic process automation (RPA) in office environments typically involves software bots and does not pose physical harm risks. Safety protocols are essential when working alongside industrial robots to prevent accidents.

What is Robotic Process Automation (RPA)?

Robotic Process Automation (RPA) is a technology that uses software robots, or 'bots,' to automate repetitive and rule-based tasks traditionally performed by humans. RPA systems can interact with digital systems and applications to process transactions, manipulate data, trigger responses, and communicate with other systems. This automation helps organizations increase efficiency, reduce errors, and free up human workers for more complex responsibilities. RPA is widely used in industries like finance, healthcare, and customer service to streamline operations and cut costs.

What does robotic mean?

In the context of Robotic Process Automation (RPA), 'robotic' refers to software robots or bots that automate repetitive tasks traditionally performed by humans. These software robots mimic human actions within digital systems to improve efficiency and accuracy, often using tools like automation platforms and scripting languages.

How does a Robotic Process Automation (RPA) specialist typically interact with business stakeholders and IT teams during an RPA project?

As an RPA specialist, you will regularly collaborate with business stakeholders to understand their workflows and identify automation opportunities. You'll also work closely with IT teams to ensure that automation solutions are secure, scalable, and comply with company standards. Effective communication skills are essential, as you'll need to translate technical possibilities into business value, gather feedback, and coordinate testing and deployment. This collaborative environment helps ensure that RPA solutions genuinely address business needs and are smoothly integrated into existing systems.

What is another word for robotic?

In the context of Robotic Process Automation (RPA), another word for robotic is automated or machine-like. These terms describe systems or processes that operate automatically without human intervention, often using software robots or bots to perform repetitive tasks efficiently.
What are the most commonly searched types of Robotic Process Automation jobs in Michigan? The most popular types of Robotic Process Automation jobs in Michigan are:
What are popular job titles related to Robotic Process Automation jobs in Michigan? For Robotic Process Automation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Robotic Process Automation jobs in Michigan look for? The top searched job categories for Robotic Process Automation jobs in Michigan are:
What cities in Michigan are hiring for Robotic Process Automation jobs? Cities in Michigan with the most Robotic Process Automation job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kalamazoo, MI • Remote

Other

Posted 21 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.