Applied AI Engineer Jobs in Chicago, IL
Applied AI Engineer jobs in Chicago are in high demand, concentrated in the Loop, River North, and the Fulton Market tech corridor, across fintech, healthcare AI, and enterprise software. Employers hiring right now include 84.51°, Amazon Web Services, and Braze. See the openings below and apply to the ones that match your experience.
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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.
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Applied AI Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a applied ai engineer job in Chicago?
Focus your search on Chicago's Fulton Market district, the Loop, and River North, where fintech firms, health tech companies, and enterprise software employers concentrate most applied AI hiring. Candidates who can demonstrate production-ready ML deployments, experience with large language model integration, and familiarity with cloud-native architectures tend to stand out. Engaging with Chicago's active AI and data science meetup community also gives you a real edge in this market.
Which companies hire applied ai engineers in Chicago?
Chicago applied ai engineer roles are posted by 84.51°, Amazon Web Services, and Braze and others right now, based on current listings on Migrate Mate as of September 2026. Chicago's hiring mix skews toward established financial services firms, health tech platforms, and mid-size SaaS companies that are actively building internal AI capabilities.
Are there remote applied ai engineer jobs in Chicago?
Yes, though with limits, since applied AI engineering often requires close collaboration with product and data infrastructure teams. About 100% of applied ai engineer openings tied to Chicago are remote or hybrid as of September 2026, with fully remote arrangements more common for model evaluation, fine-tuning, and ML pipeline work than for roles requiring on-site integration with proprietary systems.
How can I get a applied ai engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is targeting junior ML engineer or AI associate roles at mid-size SaaS companies and health tech startups in Fulton Market, which tend to have more structured onboarding than large enterprises. Building a portfolio of deployed AI projects on public repositories, contributing to open-source LLM tooling, and attending Chicago-area AI hackathons run by organizations like ChiPy or the Chicago AI meetup group can open doors quickly.
See All 14 Applied AI Engineer Jobs in Chicago
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