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Entry Level Ai Engineer Jobs in Wisconsin (NOW HIRING)

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ...

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and ... Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ...

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ...

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Junior IT Developer

Brookfield, WI

$63K - $82K/yr

... entry-level roles count. * Experience with at least one programming language (e.g., C#, Java, JavaScript/TypeScript, or Python), plus basic SQL and Git. * Openness to AI coding tools and a ...

New

Entry Level Welder

Manitowoc, WI · On-site

$22 - $25/hr

Work from blueprints and engineered drawings to complete work * MIG and TIG weld various materials ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

From high-performance data centers driving the future of AI to dynamic commercial environments ... Engineering. * 2-4 years of experience preferred, although entry-level candidates will be ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... Engineering. * 2-4 years of experience preferred, although entry-level candidates will be ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... Engineering. * 2-4 years of experience preferred, although entry-level candidates will be ...

QC Analytical Chemist

Verona, WI · On-site

$22 - $25/hr

Experience Level Entry Level Job Type & Location This is a Contract to Hire position based out of ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

... Engineer (f/m/d) mit fundierter Erfahrung in der Anforderungserhebung, -modellierung und ... Vielen Dank fur Ihr Verstandnis! +43 699 14402417 We may use artificial intelligence (AI) tools to ...

WI · On-site

$76 - $114/hr

IBM Cybersecurity brings together consultants, architects, analysts, engineers, and technical ... Work with modern cybersecurity platforms, automation tools, and AI-enhanced security operations ...

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Entry Level Ai Engineer information

See Wisconsin salary details

$30.3K

$70K

$119.1K

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 Wisconsin is $70,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $79,200.00 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 Wisconsin?

The most popular types of Ai Engineer jobs in Wisconsin are:

What are popular job titles related to Entry Level Ai Engineer jobs in Wisconsin?

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

What job categories do people searching Entry Level Ai Engineer jobs in Wisconsin look for?

The top searched job categories for Entry Level Ai Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Entry Level Ai Engineer jobs?

Cities in Wisconsin with the most Entry Level Ai Engineer job openings:

Infographic showing various Entry Level Ai Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $70,011 per year, or $33.7 per hour.

Support Engineer

Snap-on Inc

Kenosha, WI • On-site

Full-time

Re-posted 5 days ago


Snap-on rating

7.5

Company rating: 7.5 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

271st of 493 rated machine equipment manufacturers


Job description

Overview
We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and troubleshoot modern web applications built on an Azure and SQL-based stack. This role is ideal for someone who enjoys digging into application issues, working with data, and exploring emerging tools like AI agents to improve support operations.
Responsibilities
  • Troubleshoot and resolve issues across web applications, APIs, and backend services
  • Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
  • Manage and prioritize support queues based on severity, impact, and SLAs
  • Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
  • Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
  • Document issues and translate findings into well-structured bug reports, user stories, or functional specs
  • Assist in validating bug fixes and supporting release testing
  • Contribute knowledge base articles and support playbooks
  • Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)

Qualifications
  • Bachelor's degree in computer science, Information Systems, or related field (or equivalent practical experience)
  • Strong foundational SQL skills (queries, joins, basic performance awareness)
  • Understanding of web application architecture (frontend, backend, APIs)
  • Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
  • Ability to troubleshoot issues using logs, error messages, and system behavior
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks in a queue-driven support environment
  • Clear communication skills for both technical and non-technical audiences

Preferred Qualifications
  • Exposure to JavaScript-based web applications or REST APIs
  • Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
  • Familiarity with ticketing systems (Jira)
  • Basic understanding of Agile, product management, or business analysis practices
  • Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
  • Experience writing bug reports, acceptance criteria, or functional specifications

Key Competencies
  • Structured problem-solving and root cause analysis
  • Ability to translate issues into actionable technical and functional requirements
  • Ownership mindset with attention to detail
  • Curiosity and willingness to experiment with AI-driven support improvements
  • Strong collaboration across engineering, product, and support teams

What Snap-on employees say

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