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Entry Level Ai Engineer Jobs in Chicago, IL (NOW HIRING)

Crowe

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... an entry-level engineering role. This role emphasizes learning and skill development while ...

Crowe LLP

AI Engineering Intern

Chicago, IL

$27 - $42/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... an entry-level engineering role. This role emphasizes learning and skill development while ...

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... an entry-level engineering role. This role emphasizes learning and skill development while ...

BlackSpade

Software Engineer with DevOps

Chicago, IL · On-site

$110K/yr

AI & DevOps Engineer (Elite Entry-Level Track) Salary: $70,000/year W2 with a guaranteed progression to $110k/year on W2 after 2 years Benefits: Sponsored Training + Fortune 500 Placement + Internal ...

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All JobsAi Engineer JobsEntry Level Ai Engineer JobsEntry Level Ai Engineer Jobs in Chicago, IL

Entry Level Ai Engineer information

See Chicago, IL salary details

$30.5K

$70.4K

$119.8K

How much do entry level ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level ai engineer in Chicago, IL is $70,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $79,700.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Chicago, IL?

The most popular types of Ai Engineer jobs in Chicago, IL are:

What are popular job titles related to Entry Level Ai Engineer jobs in Chicago, IL?

For Entry Level Ai Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Chicago, IL look for?

The top searched job categories for Entry Level Ai Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Ai Engineer jobs?

Cities near Chicago, IL with the most Entry Level Ai Engineer job openings:

Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $70,432 per year, or $33.9 per hour.

Tax Innovation - AI Engineer - Senior Manager

Pwc

Chicago, IL • On-site

$124K - $335K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Tax Innovation - AI Engineer, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results, acting as a strategic advisor and driving project success. You will be responsible for building trust with multi-level teams and stakeholders, motivating and coaching teams to solve complex problems, and applying sound judgment to develop high-performing, diverse, and inclusive teams.
In this role, you will oversee the design, development, and maintenance of data infrastructure, confirming data quality and integration across various systems. You will also engage in coaching and feedback processes to foster growth and innovation within your team. Your ability to manage data pipelines and model data effectively will be crucial in supporting efficient data management and decision-making. This position offers the opportunity to deepen your skills in AI implementation and machine learning, contributing to the overall success of our firm.
Responsibilities
- Leading the integration and deployment of artificial intelligence technologies to enhance performance and capabilities
- Overseeing the design and maintenance of data infrastructure to support efficient data management and sharing
- Managing data pipelines to validate accurate and timely data movement across systems
- Developing data models to organize and represent data in a structured manner, supporting decision-making processes
- Implementing machine learning and natural language processing techniques to drive innovation in data analytics
- Utilizing Python programming to build and refine data analytics solutions
- Conducting rapid experimentation to test new ideas and improve data-driven strategies
- Providing coaching and feedback to develop team skills and performance in data and analytics engineering
- Collaborating with stakeholders to integrate data from different and multiple sources into a unified view
- Validating data quality to maintain accuracy, consistency, and reliability for informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 6years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Leading AI implementation projects to enhance performance and capabilities
- Managing data infrastructure to promote data sharing and consumption
- Integrating data from diverse sources into unified views
- Modeling data to support efficient management and integrity
- Utilizing Python for programming and machine learning applications

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

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Benefits

Hours and flexibility

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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