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

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 ...

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

The Cyber Security Engineering team is seeking a dynamic AI & Automation Engineer to build and support the critical technologies that enable our Information Security and Incident Response teams.

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 Cyber Security Engineering team is seeking a dynamic AI & Automation Engineer to build and support the critical technologies that enable our Information Security and Incident Response teams.

The Cyber Security Engineering team is seeking a dynamic AI & Automation Engineer to build and support the critical technologies that enable our Information Security and Incident Response teams.

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 ...

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Ai Automation Engineer information

See Chicago, IL salary details

$38.1K

$110.4K

$167.9K

How much do ai automation engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai automation engineer in Chicago, IL is $110,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $127,200.00 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 job categories do people searching Ai Automation Engineer jobs in Chicago, IL look for?

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

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

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

Infographic showing various Ai Automation Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $110,356 per year, or $53.1 per hour.

AI Automation Engineer

fairlife

Chicago, IL • On-site

$10K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.
With over $3B in annual retail sales, fairlife's portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™, a nutrition shake to support the journey to better health.
A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.
To learn more about fairlife and its complete line of products, please visit fairlife.com.
job purpose: 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 workflows that reason, plan, and execute tasks end-to-end - turning manual, repetitive processes into reliable automation across manufacturing, supply chain, and business operations. Working in a modern Microsoft Fabric and Azure environment, the engineer will design, develop, and deploy production-grade agentic systems that connect to enterprise tools and data to unlock operational efficiency and faster, better-informed decisions.
responsibilities:
  • Design, build, and deploy AI agents that autonomously reason, plan, and execute multi-step tasks to automate business workflows
  • Identify manual, repetitive, and high-friction processes and re-engineer them as reliable, automated agentic workflows
  • Orchestrate single- and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
  • Integrate agents with internal tools, APIs, databases, and enterprise systems - including via the Model Context Protocol (MCP) - to enable reliable, end-to-end task execution
  • Implement retrieval-augmented generation (RAG) pipelines to ground agents in fairlife's domain-specific data
  • Apply prompt engineering, tool and function calling, and rigorous evaluation to make agents accurate, reliable, and production-ready
  • Leverage MLOps/LLMOps best practices to deploy, monitor, evaluate, and continuously improve agentic systems in production
  • Build responsible-AI guardrails - safety, human-in-the-loop oversight, transparency, and compliance - into every automated system
  • Partner with the Senior Data Scientist and cross-functional teams to identify and prioritize high-impact automation opportunities

skills/qualifications required:
  • 2+ years of relevant experience in AI engineering, machine learning engineering, software engineering, or related fields
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/Machine Learning, Engineering, or a related STEM field (or equivalent practical experience)
  • Proficiency in Python and experience building applications with large language models (LLMs) and foundation models
  • Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) and orchestration patterns
  • Experience with prompt engineering, tool and function calling (including the Model Context Protocol), retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, Weaviate, ChromaDB)
  • Familiarity with cloud platforms (Azure/Fabric, AWS, or GCP) for scalable AI deployment
  • Experience with MLOps/LLMOps practices and responsible AI principles, including monitoring, governance, and compliance
  • Strong software engineering fundamentals, including API development, version control (Git), and containerization (Docker)
  • Strong communication skills for collaborating with business and technical teams
  • A bias toward automation: a track record of spotting repetitive, manual workflows and building tools or agents to eliminate them (preferred)
  • Experience in manufacturing and supply chain (preferred)

how fairlife nourishes you:
At fairlife, we believe in better - and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.
  • Comprehensive medical, dental, and vision coverage, effective day one!
  • Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
  • Paid Time Off to recharge and support work-life balance
  • Paid parental leave & adoption assistance (up to $10,000)
  • Parental support & family care benefits, including childcare resources and lactation support
  • 401(k) to support retirement planning with up to 9% in employer match
  • Wellness reimbursement (up to $500 for qualified wellbeing expenses)
  • Employee Assistance Program (EAP) for emotional wellbeing and work-life support
  • Company-paid life insurance and short-term disability
  • Employer HSA funding (for HDHP participants)
  • Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
  • Learning & development programs to unlock your full potential
  • Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife's nour!sh program is designed to meet you where you are - supporting your individual wellbeing journey while enabling you to do your best work every day.
'
This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.
This is a hybrid position based in our downtown Chicago office, with an expectation of working onsite three (3) days per week.
position location: Chicago, IL
reports to: Senior Data Scientist, Decision Intelligence
travel requirements: 10%
Exempt/Nonexempt: Exempt
*Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Base pay range:
$85,000-$105,000 USD
fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.
In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email careers@fairlife.com.
For Recruitment AgenciesAt fairlife, we manage the majority of our hiring internally through our dedicated Talent Acquisition team, which is actively engaged in direct candidate sourcing. Most of our roles are filled through applications submitted via our careers site or through direct outreach by our team.
As our recruitment is primarily handled in-house, we work only occasionally with external agencies, and only those on our existing, pre-approved vendor list. At this time, we are not reviewing or expanding that list.
Unsolicited resumes or submissions from external agencies not authorized by our Talent Acquisition team will be considered direct candidate applications. As such, fairlife will not assume responsibility for any placement fees associated with these submissions.