AI Research Engineer Jobs in Illinois
AI Research Engineer jobs in Illinois are active and competitive, with demand concentrated in machine learning, natural language processing, and applied AI systems across the technology, healthcare, and financial services sectors, covering roles from entry-level research associate through principal and staff engineer. Chicago leads hiring by a wide margin, with Champaign-Urbana and Evanston adding meaningful volume through their deep university-industry ties. Well-established employers like Morningstar, Zebra Technologies, and Uptake have maintained long-running AI research teams in the state. 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 10 AI Research Engineer Jobs in Illinois
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Find AI Research Engineer JobsAI Research Engineer Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
AI Research 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 AI research engineer jobs across Illinois.
- Master's or PhD in computer science, machine learning, or a closely related field
- Hands-on experience designing and training deep learning or large language models
- Proficiency in Python and frameworks such as PyTorch or TensorFlow
- Ability to publish or translate research findings into production-ready systems
- Experience working with large-scale datasets and distributed computing infrastructure
- Strong written and verbal communication skills for cross-functional collaboration
AI Research Engineer Jobs in Illinois: Frequently Asked Questions
How do you become a ai research engineer in Illinois?
Most Illinois employers expect a master's or doctoral degree in computer science, artificial intelligence, or a related quantitative field, though strong candidates with a bachelor's degree and substantial research experience do get hired. There is no state-issued license required for this role in Illinois. Building a portfolio of published research, open-source contributions, or demonstrated model development work is the practical credential that moves applications forward at Illinois employers.
How much do AI research engineers make in Illinois?
AI research engineers in Illinois earn a median of about $136,540 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $49,190 for the lowest 10% to over $243,360 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research engineers in Illinois?
Employers hiring ai research engineers in Illinois right now include Shure, Evozyne, and Peraton, based on current listings on Migrate Mate as of November 2026. Chicago's concentration of fintech, healthcare technology, and enterprise software firms means Illinois hiring tends to favor applied research roles that bridge prototype work and deployed product.
Which Illinois cities have the most ai research engineer jobs?
Chicago, Downers Grove, and Niles account for the largest share of ai research engineer openings in Illinois. Chicago dominates because it anchors the state's technology and financial services industries, while Champaign-Urbana draws research-focused postings tied to the University of Illinois and its surrounding startup ecosystem, and Evanston benefits from Northwestern University's proximity and the research partnerships that flow from it.
Are there remote ai research engineer jobs in Illinois?
Yes, and more than most fields. About 88% of ai research engineer openings tied to Illinois are remote or hybrid as of November 2026, reflecting how heavily the role depends on computation and collaboration tools rather than physical presence. Fully remote arrangements are most common in model development and research analysis work, while roles involving proprietary hardware or on-site lab infrastructure typically require in-person time.
How can I get hired as a ai research engineer in Illinois with little or no experience?
The most realistic entry path is a graduate research assistantship or internship that produces a concrete project or co-authored paper, since Illinois employers at firms like Morningstar or Zebra Technologies commonly hire directly from University of Illinois and Northwestern graduate programs. Lateral moves from data scientist, machine learning engineer, or quantitative analyst roles are also a common door in. A public GitHub portfolio demonstrating model training, evaluation, and iteration gives candidates without a formal research title a credible alternative credential.
Where can I find and apply to ai research engineer jobs in Illinois?
You can find and apply to ai research engineer jobs in Illinois on Migrate Mate, which lists current Illinois openings updated regularly. Find roles that fit your background and apply directly to the employers posting them.
See All 10 AI Research Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find AI Research Engineer Jobs