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Ai Automation Engineer Jobs in Bolingbrook, IL (NOW HIRING)

... AI Automation Engineer; manage planning, spend, licensing, work sequencing, dependencies, escalations, KPIs, support model, career development, team health, operating model improvements. Generic ...

The AI Automation Engineer will play a key role in advancing fairlife's vision of establishing a world-class Decision Intelligence ecosystem. This role centers on building AI agents and automated ...

The AI Automation Engineer will play a key role in advancing fairlife's vision of establishing a world-class Decision Intelligence ecosystem. This role centers on building AI agents and automated ...

The AI Automation Engineer will play a key role in advancing fairlife's vision of establishing a world-class Decision Intelligence ecosystem. This role centers on building AI agents and automated ...

Senior AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Agentic Automation, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI; Python, C#, .NET, REST APIs, SQL, Git, CI/CD; Azure, Azure OpenAI, Azure ...

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 ...

Working closely with the Manager, AI Automation Engineering, who owns engineering delivery and AI Automation Delivery POD execution, and the Lead AI Automation Engineer, who owns solution ...

The Director will translate strategic objectives into practical AI automation initiatives, ensuring systems are implemented effectively across internal developer operations and client-facing ...

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Ai Automation Engineer information

See Bolingbrook, IL salary details

$36.6K

$105.9K

$161.2K

How much do ai automation engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai automation engineer in Bolingbrook, IL is $105,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $122,100.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Bolingbrook, IL?

For Ai Automation Engineer jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Bolingbrook, IL look for?

The top searched job categories for Ai Automation Engineer jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Ai Automation Engineer jobs?

Cities near Bolingbrook, IL with the most Ai Automation Engineer job openings:

Infographic showing various Ai Automation Engineer job openings in Bolingbrook, IL as of June 2026, with employment types broken down into 86% Full Time, 8% Part Time, 5% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $105,932 per year, or $50.9 per hour.

Manager AI Automation Engineer

Northern Base

Chicago, IL • On-site

$120K - $130K/yr

Full-time

Re-posted 7 days ago


Job description

Job Description
Must Have Technical/Functional Skills
Enterprise technology delivery; automation; engineering operations; portfolio management; people management; intake/prioritization; budget, workforce, vendor, multi-initiative portfolio management; UiPath, Microsoft Power Platform, AI-enabled automation, production support; staffing/budget/portfolio planning; executive communication; governance; business partnership.
 
Roles & Responsibilities
 
Manage automation demand from intake through value realization; own portfolio visibility, budget, workforce planning, vendor capacity, governance, reporting, and people management; clarify demand and business value; coordinate technical feasibility and effort with Lead AI Automation Engineer; manage planning, spend, licensing, work sequencing, dependencies, escalations, KPIs, support model, career development, team health, operating model improvements.
Generic Managerial Skills, If any
Formal people leadership; executive reporting; business partnership; financial management; organizational planning; risk and dependency management; onsite collaboration in Irving, Texas.