Applied AI Engineer Jobs in Illinois
Applied AI Engineer jobs in Illinois are among the most actively sought roles in the state's technology sector, with demand concentrated in enterprise software, financial services, healthcare technology, and manufacturing automation at levels from junior through principal. Chicago leads hiring by a wide margin, with Champaign-Urbana and the Peoria corridor adding meaningful volume, anchored by employers such as Motorola Solutions, Zebra Technologies, and Caterpillar. The most in-demand specialties include large language model integration, ML inference optimization, and applied computer vision for industrial and clinical settings. Find a role that fits below and apply directly.
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Come join us in reshaping the future!
As an Applied AI Modeling Lead, within our Business Modeling organization, you will collaborate with colleagues across JPMorgan Chase to create high-impact quantitative models for our customers' financial needs, including retail, credit card, home, auto lending, and wealth management.
Job Responsibilities:
- Develop and launch machine learning and AI models tailored to business goals, balancing performance metrics while keeping speed to market and complexity consideration in mind.
- Lead modeling or data science engagements end-to-end, including interfacing with business, governance, and technology stakeholders, articulating clear business use cases, creating and delivering on project plans, conducting exploratory data analysis to formulate testable business hypotheses, model development and deployment, and performance monitoring.
- Be a subject matter expert and trusted advisor to business partners, helping them understand the strengths and limitations of our models.
- Partner with Governance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
- Coach and mentor junior team members, supporting their development in technical, business, and communication skills.
Required Qualifications, Capabilities, and Skills:
- M.S. degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research).
- 7+ years of hands-on, relevant Credit Cards industry experience in developing statistical, econometric, or machine learning (ML) models; 5+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning or optimization algorithms.
- Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab is essential.
- Skilled at defining analytical approaches for projects by converting ambiguous business inquiries into clear, actionable analysis plans.
Preferred Qualifications, Capabilities, and Skills:
- PhD in a quantitative discipline.
- Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer.
- AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred. Knowledge of working on Databricks, Snowflake.
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
See All 14 Applied AI Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
Applied AI Engineer Job Market in Illinois
A snapshot from current Illinois openings, updated as new roles post.
Who's Hiring



What Illinois Employers Look For
The qualifications that appear most often in applied AI engineer jobs across Illinois.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for model deployment
- Experience integrating large language models or generative AI into enterprise applications
- Strong communication skills for collaborating with cross-functional product and data teams
Applied AI Engineer Jobs in Illinois: Frequently Asked Questions
How do you become a applied ai engineer in Illinois?
Applied AI engineering in Illinois has no state-issued license, so the path runs through education and demonstrated technical skill. Most Illinois employers expect at least a bachelor's degree in computer science, data science, or a related engineering field, with a master's degree preferred at mid-to-senior levels. University of Illinois Urbana-Champaign and Northwestern are well-regarded feeders into Illinois's tech market. A portfolio of deployed ML projects or open-source contributions carries significant weight during screening.
How much do applied AI engineers make in Illinois?
Applied AI engineers in Illinois earn a median of about $132,110 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,980 for the lowest 10% to over $194,740 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire applied ai engineers in Illinois?
Employers hiring applied ai engineers in Illinois right now include 84.51°, Amazon Web Services, and Braze, based on current listings on Migrate Mate as of September 2026. Illinois's mix of global headquarters, major financial institutions, and leading healthcare systems means demand comes from a broad range of industries rather than a single dominant sector.
Which Illinois cities have the most applied ai engineer jobs?
Chicago, Lisle, and Addison have the most applied ai engineer openings in Illinois. Chicago dominates because it concentrates the state's headquarters-level technology, finance, and healthcare employers, while Champaign-Urbana draws roles tied to the University of Illinois research ecosystem and its affiliated deep-tech spinouts.
Are there remote applied ai engineer jobs in Illinois?
Yes, and more than most fields. About 100% of applied ai engineer openings tied to Illinois are remote or hybrid as of September 2026, reflecting the desk-based, software-centric nature of the work. Model development, fine-tuning, and integration work is especially portable, while roles involving on-site hardware, proprietary data infrastructure, or regulated healthcare environments are more likely to require in-person presence.
How can I get hired as a applied ai engineer in Illinois with little or no experience?
The most realistic entry path is a rotational or associate ML engineer program at a large Illinois employer such as Morningstar, Zebra Technologies, or one of Chicago's major financial institutions. New graduates can also move in from adjacent roles like data analyst or software engineer by contributing to internal AI pilots. Building a portfolio of end-to-end projects using public datasets and presenting at Chicago-area AI meetups signals readiness to hiring managers who receive high application volumes.
Where can I find and apply to applied ai engineer jobs in Illinois?
You can find and apply to applied ai engineer jobs in Illinois on Migrate Mate, which lists current Illinois openings. Search the listings, find roles that match your experience and location preference, and apply directly to the ones that fit.
See All 14 Applied AI Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
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