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Entry Level Ai Engineer Jobs in Michigan (NOW HIRING)

Internal Audit/SOX- Experienced Associate

Detroit, MI

$63K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI and other risk technologies to address a wide range of challenges. As an Associate, you will ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Showing results 41-46

Entry Level Ai Engineer information

See Michigan salary details

$26.1K

$60.5K

$102.8K

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

As of Aug 13, 2026, the average yearly pay for entry level ai engineer in Michigan is $60,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $68,400.00 per year, depending on experience, location, and employer.

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.

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.

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.

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 tools like Python or TensorFlow. While prior experience is not always mandatory, having relevant coursework, projects, or certifications can improve chances of securing such roles. Employers may also provide on-the-job training for candidates with strong problem-solving skills and a willingness to learn.

Is AI taking entry level ai engineer jobs?

Entry-level AI engineer jobs are growing as companies invest in artificial intelligence and machine learning technologies. However, competition remains high, and candidates with skills in programming, data analysis, and familiarity with tools like Python and TensorFlow have better prospects. Staying updated with industry trends and gaining relevant certifications can improve job opportunities in this field.

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 are the most commonly searched types of Ai Engineer jobs in Michigan? The most popular types of Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Ai Engineer jobs? Cities in Michigan with the most Entry Level Ai Engineer job openings:
Infographic showing various Entry Level Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,456 per year, or $29.1 per hour.

Digital Assurance & Transparency - IT Audit Senior Associate

Pwc

Detroit, MI • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Digital Assurance & Transparency - IT Audit Senior Associate, you will focus on providing assurance services over clients' digital environments, including processes and controls, cybersecurity measures, data and AI systems, and their associated governance. Within our Assurance practice, you will help organizations and their stakeholders build trust in their technology while complying with relevant regulations. As a Senior Associate, you will develop meaningful client connections, anticipate needs, and embrace increased ambiguity. You will leverage your skills to analyze complex concepts and interpret feedback, guiding and mentoring others to maintain professional and technical standards.
In this role at PwC, you will be responsible for evaluating compliance with regulations, including assessing governance and risk management processes and related controls. You will use a broad range of tools and methodologies to generate new ideas and solve problems, enhancing your personal brand and technical skills. By understanding the broader objectives of your projects, you will contribute to the overall strategy and deliver quality work. This position offers an opportunity to grow your skills in a dynamic environment, where you will navigate complexity and inspire others.
Responsibilities
- Conducting IT audits to evaluate internal controls and compliance with regulations
- Analyzing complex digital environments to identify potential risks and areas for improvement
- Collaborating with clients to understand their digital assurance needs and provide tailored solutions
- Utilizing auditing methodologies and IT governance frameworks to enhance audit processes
- Implementing cybersecurity risk management strategies to protect client data and systems
- Assessing data quality and validation processes to support accurate reporting and decision-making
- Developing and maintaining relationships with clients to foster trust and collaboration
- Mentoring junior team members to build their skills and understanding of audit practices
- Interpreting data to generate insights and recommendations for clients
- Upholding professional and technical standards in line with firm guidelines and industry regulations
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
- Before starting full-time at PwC, meet the educational requirements to be eligible to sit for the CPA exam in your intended state of employment or the educational requirements for licensure as a Certified Information Systems Auditor (CISA).
What Sets You Apart
- Preference for a Bachelor's degree in at least one of the following fields of study: Accounting
- At least one of the following: Current pursuit of or an active CPA or CISA license
- Utilizing auditing methodologies to enhance client service engagements
- Demonstrating analytical thinking in complex problem-solving scenarios
- Leveraging cloud engineering skills for innovative solutions
- Applying cybersecurity governance to manage risk effectively
- Excelling in data quality assurance testing for accurate insights

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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.

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