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Entry Level Artificial Intelligence Engineer Jobs in Minnesota

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Contribute your strong programming ability and experience to develop robust solutions for real ...

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Contribute your strong programming ability and experience to develop robust solutions for real ...

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Contribute your strong programming ability and experience to develop robust solutions for real ...

Environmental Engineer

Minneapolis, MN · On-site

$75K - $95K/yr

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Environmental Engineer

Minneapolis, MN · On-site

$75K - $95K/yr

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

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Showing results 1-20

Entry Level Artificial Intelligence Engineer information

See Minnesota salary details

$29.4K

$67.9K

$115.6K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for entry level artificial intelligence engineer in Minnesota is $67,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $76,900.00 per year, depending on experience, location, and employer.

How can I become an AI engineer with no experience?

To become an entry-level AI engineer with no experience, focus on building foundational skills in programming languages like Python, learn machine learning concepts, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include stock options or bonuses that contribute to the total compensation. Entry-level AI engineers generally do not earn this level of salary, which is more common among senior professionals or those in leadership positions.

What kind of projects or tasks do Entry Level Artificial Intelligence Engineers typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive in the Entry Level Artificial Intelligence Engineer position, and why are they important?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

How to get a job in artificial intelligence with no experience?

Entry-level artificial intelligence engineer roles often require foundational skills in programming, mathematics, and machine learning. Gaining experience through online courses, personal projects, internships, or certifications in tools like Python, TensorFlow, or PyTorch can improve your chances of securing such a position without prior work experience.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning technician, and junior AI engineer. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning frameworks, and often an internship or certification in AI or data science. They provide opportunities to gain practical experience and develop skills in AI development and deployment.

What is an Entry Level Artificial Intelligence Engineer job?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Minnesota? The most popular types of Artificial Intelligence Engineer jobs in Minnesota are:
What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Minnesota? For Entry Level Artificial Intelligence Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Minnesota look for? The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities in Minnesota with the most Entry Level Artificial Intelligence Engineer job openings:
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Minnesota as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $67,934 per year, or $32.7 per hour.
Artificial Intelligence (AI) Business Transformation Analyst

Artificial Intelligence (AI) Business Transformation Analyst

Wipaire Inc

South Saint Paul, MN

$68K - $103K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 16 days ago


Job description

Position: Artificial Intelligence (AI) Business Transformation Analyst

Department: Business Services

Reports To: Vice President of Business Services

FLSA Status: Salaried, Exempt

Hours: Monday - Friday, 40+ hours per week

Pay Range: The approximate pay range is $68,894 - $103,341. Please note that pay range provided is a good faith estimate for the position at the time of posting. Within this range, compensation will be based on the candidate's skills, experience, education, and other qualifications. In addition, this position is eligible for a $5,000 signing bonus.

Benefits Summary:

Wipaire offers a full benefits package including health, dental, 401(k) plan with employer match, tuition reimbursement, life, short & long term disability insurance and other benefits such as PTO (starting at 15 days) and holiday pay, all while working with great people, first shift, and in a family-friendly atmosphere.
Disclaimer: The benefits noted above are subject to eligibility requirements.

Company Information:
At Wipaire we have been engineering and manufacturing aircraft floats for the last 60 years and have become an aviation industry leader of diversified aviation services. Our products are used to convert existing airplanes into sea planes. We support passenger service, tourism, and fire-fighting operations all over the world. Wipaire is committed to investing in our people, products, and technology. Our core values are simple, a win-win mindset, technically adept, work/life balance, do the right thing and have fun. If these values speak to you, we want to connect! Join this growing company that is proudly producing products made in the USA.

Position Summary:
The AI Business Transformation Analyst is responsible for designing, developing, and implementing AI-driven solutions that automate processes, streamline workflows, and improve operational efficiency across the organization. This role partners closely with business leaders and stakeholders to develop AI-enabled tools, enhance system integrations, and expand Power BI reporting capabilities.

The ideal candidate brings experience in data analysis, business process improvement, and applied AI concepts, with a strong ability to solve complex business problems through technology.

Primary Responsibilities:

  • Educate key stakeholders on AI principles, capabilities, risks, and practical business applications; support the development and execution of Company AI strategies.
  • Translate complex technical concepts into clear business recommendations for non-technical stakeholders.
  • Partner with business teams to identify opportunities to automate manual processes, improve decision-making, increase operational efficiency, and reduce costs.
  • Design, develop, and deploy AI-enabled solutions to achieve measurable business improvements.
  • Analyze structured and unstructured data to improve data quality, identify trends and patterns, and generate actionable business insights.
  • Improve data connectivity and enhance integrations between Epicor, Salesforce, Power BI, Paylocity, and other platforms.
  • Build and maintain Power BI dashboards and reporting tools that monitor operational KPIs, financial performance, and business trends.
  • Evaluate and prioritize AI initiatives based on business impact, feasibility, cost, and implementation timelines.
  • Ensure appropriate data governance, security, integrity, and compliance standards across AI-related initiatives and systems.
  • Design and maintain appropriate redundancy, documentation, backup procedures, and business continuity safeguards for AI tools, automations, integrations, and reporting processes.
  • Stay current on emerging AI technologies, tools, and best practices, and recommend practical applications that create business value.
  • Measure and communicate the business impact of AI initiatives, including efficiency improvements, cost savings, reporting enhancements, and process optimization.

Education, Experience and Credentials

  • Bachelor's degree in Data Science, Computer Science, Analytics, or related field.
  • 1-3 years of experience applying AI solutions, data analytics, business intelligence, and process automation.
  • Experience developing dashboards, data models, and visualizations in Microsoft Power BI.
  • Experience with data analysis and scripting tools such as Python or SQL.
  • Experience with ERP systems and integrations, Epicor Kinetic strongly preferred.
  • Familiarity with APIs, data pipelines, and cloud-based data or AI platforms (Azure preferred).
  • Strong analytical, problem-solving and critical thinking skills.
  • Self-driven and highly collaborative.
  • Manufacturing, operational, or industrial business experience preferred.


Knowledge, Skills and Abilities

  • Hear, comprehend, speak and effectively verbally communicate in the English language, including following verbal and written instructions, in order to communicate with people inside and outside the organization.
  • Sit at a desk for extended periods of time and perform long hours of work sitting at a computer.
  • Apply manual dexterity and visual acuity for computer keyboarding and office equipment use and to review detailed reports and information.
  • Move around the shop and office area repeatedly throughout the day.