AI Engineer Jobs in Illinois
AI Engineer jobs in Illinois are among the most actively recruited technology roles in the state, with strong demand from financial services, healthcare technology, logistics, and enterprise software firms at every level from entry-level through principal engineer. Chicago anchors the market, followed by Naperville and Champaign, where anchors like Allstate, Morningstar, and Caterpillar maintain sizable AI and machine learning teams. The most sought-after specialties are large language model development, machine learning operations, and AI-driven data pipeline engineering. Find a role that fits below and apply directly.
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Essential Responsibilities
- Partner with AI Strategy leadership to convert prioritized AI opportunities into executable roadmaps, workstreams, milestones, resource plans, and delivery plans.
- Establish and manage the operating framework for AI SBU initiative intake, planning, sequencing, dependency management, execution governance, and delivery reporting.
- Lead day-to-day AI SBU operations, including planning, decision tracking, resource coordination, process improvement and leadership priorities.
- Partner with Enterprise Architecture, Data Engineering, Application Development, Infrastructure, and Information Security teams to translate AI priorities into technical requirements and support high-level solution architectures.
- Define end-to-end solution, including data flows, integrations, technology dependencies, control, implementation, and operational support models.
- Serve as the primary liaison between the AI SBU and technology delivery teams, ensure clear ownership, coordinated execution, and alignment with priorities.
- Lead cross-functional planning, design, and execution sessions involving business stakeholders, technology teams, vendors, and governance functions.
- Identify potential challenges and risks associated with change initiatives and develop mitigation strategies.
- Facilitate cross-functional evaluation of solution alternatives, bringing together the appropriate architecture and engineering leaders to assess feasibility, scalability, technology fit, integration complexity, operational readiness, implementation risk, and build-versus-buy considerations.
- Drive AI initiatives from planning through implementation, adoption, operationalization, and post-implementation measurement ensuring alignment with the business outcome.
- Manage portfolio-level risks, issues, dependencies, resource constraints, and delivery conflicts; escalate decisions requiring leadership action.
- Provide executive-level visibility into delivery progress, milestones, risks, resource needs, trade-offs, and decisions.
- Partner with AI Governance and internal teams to embed applicable requirements into solution delivery.
- Analyze current processes, identify opportunities for improvement, and implement efficient solutions to optimize the operation of the AI SBU.
- Develop reusable solution patterns, implementation playbooks, governance processes, and reporting to improve speed, consistency, control, and sustainability of AI execution.
Education & Years of Experience
- Minimum - Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, Business or related
- Preferred - Graduate Degree Business, Information Technology or related
- Minimum - Progressively experience spanning technology program leadership, enterprise delivery, engineering, systems implementation, portfolio management, strategy and operations or related
In Lieu of Education
- 15 Years of Technology program leadership, systems engineering, solution delivery, architecture or related
License/Certifications/Training
- Preferred - Project Management Professional (PMP)
- Preferred - SAFe, Agile, or comparable product-delivery certification
- Preferred - Cloud, engineering, or solution-architecture certification
- Preferred - AI, data, machine-learning, or change-management training
Compensation & Benefits:
Typical hiring range: $149,700.00 to $256,700.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:
- Annual performance bonus
- Work from home up to 3 days a week
- Paid parental leave
- Employee discount programs
- Time off including paid personal and sick days
- 11 paid holidays
- Education reimbursement
- Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.
Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.
The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
See All 117+ AI Engineer Jobs in Illinois
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Find AI Engineer JobsAI Engineer Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
AI Engineer Job Market in Illinois
A snapshot from current Illinois openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Consulting & Professional Services
- Law & Legal Services
- Medical Devices
- Technology & Software
- Electronics & Hardware
What Illinois Employers Look For
The qualifications that appear most often in AI engineer jobs across Illinois.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch
- Hands-on experience building and deploying machine learning models in production environments
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Experience with large language models, prompt engineering, or retrieval-augmented generation pipelines
- Strong communication skills to collaborate with cross-functional product and data science teams
AI Engineer Jobs in Illinois: Frequently Asked Questions
How do you become a ai engineer in Illinois?
Illinois does not require a state-issued license to work as an ai engineer. The typical path is a bachelor's degree in computer science, data science, or a related field, followed by hands-on project work or an internship that demonstrates model-building and deployment skills. Many Illinois employers, particularly in Chicago's fintech and healthtech sectors, value candidates who can show a portfolio of applied AI projects alongside their academic credentials.
Which companies hire ai engineers in Illinois?
Employers hiring ai engineers in Illinois right now include AbbVie, Relativity, and Inspira Financial, based on current listings on Migrate Mate as of November 2026. Illinois's dense concentration of Fortune 500 headquarters, major insurance carriers, and health systems means consistent year-round demand rather than hiring tied to a single industry cycle.
Which Illinois cities have the most ai engineer jobs?
Chicago, Illinois, and Oak Brook have the most ai engineer openings in Illinois. Chicago dominates because of its headquarters-heavy economy in financial services, insurance, and enterprise software, while Naperville and Champaign draw hiring through major corporate campuses and the University of Illinois tech ecosystem, which feeds a steady pipeline of AI-focused employers in those areas.
Are there remote ai engineer jobs in Illinois?
Yes, and more than most fields. About 89% of ai engineer openings tied to Illinois are remote or hybrid as of November 2026, reflecting how naturally the work fits a distributed setup. Model development, experimentation, and code review are the portions of the role most commonly performed fully remotely, while production deployment reviews and stakeholder demos more often require occasional on-site presence.
How can I get hired as a ai engineer in Illinois with little or no experience?
The most realistic entry path is a junior machine learning engineer or AI associate role, which large Illinois employers in insurance and logistics open specifically for recent graduates. Companies like Allstate and Discover Financial run structured new-grad technical programs that include AI and data engineering rotations. Building a public portfolio of end-to-end ML projects on GitHub strengthens any application, and completing a cloud certification from AWS or Google Cloud gives Illinois hiring managers a verifiable signal for candidates without full-time experience.
Where can I find and apply to ai engineer jobs in Illinois?
You can find and apply to ai engineer jobs in Illinois on Migrate Mate, which lists current Illinois openings across Chicago, Naperville, Champaign, and surrounding areas. Find roles that fit your experience and specialization and apply directly to each one.
See All 117+ AI Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
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