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Associate Ai Engineer Jobs in Markham, IL (NOW HIRING)

Role Overview We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in real-world advisor workflows. This role is embedded inour discovery team, working alongside ...

AI Engineer

Chicago, IL · On-site

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

AI Engineer

Naperville, IL · On-site

$120K - $145K/yr

Job Summary The AI Engineer is a midlevel individual contributor on PTMA's Data & AI team ... Claude Certified Associate - Foundations (CCAO-F) or Claude Certified Architect - Foundations (CCAR ...

New

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

Azure AI Engineer Associate) are a plus. * Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of ...

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

Azure AI Engineer Associate) are a plus. * Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of ...

Manager, AI Engineer

Chicago, IL · On-site

$150 - $190/hr

Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems ...

New

Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems ...

... associate, bachelor's, master's or JD/PhD program * Technical Skills: * Programming: Comfortable ... AI & Machine Learning: Coursework or practical experience with open-source ML/LLM frameworks (e.g ...

... Associate's Degree). Preferred Qualifications Microsoft Certified AI Engineer or equivalent certification. Experience in management consulting and/or systems integration environments. Strong ...

... Associate's Degree). Preferred Qualifications Microsoft Certified AI Engineer or equivalent certification. Experience in management consulting and/or systems integration environments. Strong ...

... Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging ... The Opportunity As part of the People Tech & AI team you will develop, test, and validate ...

AI Technical Consultant

Chicago, IL · On-site

$62 - $100/hr

Certifications in Microsoft technologies (e.g., Azure AI Engineer Associate, Power Platform Solution Architect). * Hands-on experience with Dynamics 365 and its integration with Power Platform.

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Associate Ai Engineer information

See Markham, IL salary details

$39.3K

$78.2K

$125K

How much do associate ai engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for associate ai engineer in Markham, IL is $78,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

How much do entry level associate AI engineers make?

Entry-level associate AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and company size. Starting salaries may also include benefits such as health insurance and opportunities for skill development in machine learning tools and programming languages like Python or TensorFlow.

Is there a demand for associate AI engineers?

There is a strong and growing demand for associate AI engineers as industries increasingly adopt artificial intelligence and machine learning technologies. Entry-level roles often require knowledge of programming languages like Python, familiarity with AI frameworks, and relevant certifications, making it a promising career path for those with technical skills and a background in data science or software development.

What jobs can you get with an associate AI engineer?

An associate AI engineer can qualify for roles such as AI developer, machine learning technician, data analyst, or AI support specialist. These positions typically require knowledge of programming languages like Python, familiarity with AI frameworks, and understanding of data processing. Entry-level roles often involve assisting in developing, testing, and maintaining AI models and systems.

What cities near Markham, IL are hiring for Associate Ai Engineer jobs?

Cities near Markham, IL with the most Associate Ai Engineer job openings:

Infographic showing various Associate Ai Engineer job openings in Markham, IL as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $78,248 per year, or $37.6 per hour.

Associate AI Engineer

Chicago, IL • On-site


Morningstar, Inc.
Health Care and Social Assistance • 1 - 5K employees

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

64th of 245 rated social care providers

People enjoy working here

Recommended by students

Recommended by parents


$85K/yr

Full-time

Medical, Dental, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Morningstar

Morningstar's mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors theyserve,achieve their financial goals. The Morningstar Direct Platform team is one of the largest business units that strive to give clients access to the data, analytics, and tools that help financial professionals be more efficient, innovative, and connect with their clients in a more meaningful way.

This role is based in our Chicago office, and we follow a hybrid policy of 4 days onsite. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.

Role Overview

We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in real-world advisor workflows. This role is embedded inour discovery team, working alongside ProductManagers, UX designers, and researchers to translate ideas into functioning prototypes.

Success is measured by speed, feasibility validation, and actionable prototypes that can move downstream.

What Success Looks Like:

  • Prototypesvalidateadvisor workflows quickly and reliably
  • Downstream production engineers can operationalize prototypes with minimal friction
  • Team moves from idea evidence validated workflow efficiently
  • Experiments reduce risk and uncertainty for AI product decisions

Why This Role Matters

Product minded forward-deployed engineers collapse the gap between concept and reality, enabling the team to make fast, evidence-based product decisions while reducing wasted effort downstream.

Key Responsibilities

  • Build and iterate AI prototypes for advisor workflows
  • Integrate signals, models, and UX designs into working experiments
  • Test feasibility and performance of AI behaviors in real workflow scenarios
  • Collaborate closely with PMs, UX designers, and Research & Signals Lead
  • Capture technical learnings and provide handoff documentation for production teams
  • Rapidlyvalidateideas before long-term engineering investment

Required Skills

  • AI prototyping - Ability to build working AI systems quickly
  • Data integration - Connect signals, APIs, and datasets for prototypes
  • Collaboration in cross-functional teams - Work side-by-side with PMs, UX, and researchers
  • Experimentation and iteration - Rapidly test and refine ideas with user feedback
  • Technical documentation - Clearly communicate prototype behavior and limitations

Qualifications

  • 1-2years of AI engineering experience
  • Experience using AI Coding tools like Claude Code and/or Cursor
  • Experience with Python, LLMs, prompt engineering, and AI frameworks
  • Ability to rapidly prototype with limited infrastructure
  • Strong problem-solving and communication skills

Total Cash Compensation Range

$85,000-144-510 USD Annual

Inclusive of annual base salary and target incentive

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health

    • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • Emotional Health

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & FormalMentorshipOpportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.



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