ZipRecruiter

Log In

1

Ai Engineer Jobs in Wisconsin (NOW HIRING)

Accenture

Responsible AI Engineer

Milwaukee, WI · On-site

As a Responsible AI Engineer, you'll be experienced in building state of the art AI systems to solve difficult business challenges. But you'll also have at least a year's experience looking at ...

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

AllSTEM Connections

Principal AI Engineer

Milwaukee, WI · On-site

$197K - $208K/yr

This is a high-autonomy role for a seasoned AI leader who thrives on "blank slate" architectural design and wants to leave a lasting, high-impact blueprint for an engineering team to execute against.

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI

$130K - $175K/yr

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI

$130K - $175K/yr

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI

$130K - $175K/yr

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI

$130K - $175K/yr

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI ...

Pwc

NGA AI Engineer Manager

Milwaukee, WI

$73K - $244K/yr

The Opportunity As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise ...

Pwc

ERP AI Engineer - Manager

Milwaukee, WI

$99K - $232K/yr

The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to ...

previous pagenext page

Showing results 21-40

All JobsAi Engineer JobsAi Engineer Jobs in Wisconsin

Ai Engineer information

See Wisconsin salary details

$39.4K

$102.7K

$138.8K

How much do ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai engineer in Wisconsin is $102,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $117,600.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

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 Ai Engineer jobs in Wisconsin?

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

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

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

What cities in Wisconsin are hiring for Ai Engineer jobs?

Cities in Wisconsin with the most Ai Engineer job openings:

Ai Engineer jobs near you
Infographic showing various 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 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $102,704 per year, or $49.4 per hour.

Senior AI Engineer / AI Solutions Architect

MLG Capital

Brookfield, WI • On-site

$51.75 - $66.75/hr

Full-time

Posted 18 days ago

Job description

Job Type
Full-time
Description
Join MLG Capital and Help Shape the Next Generation of AI in Private Real Estate Investing
MLG Capital is seeking a highly technical and collaborative AI professional to help build and scale the firm's next-generation AI capabilities. This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development.
We are not looking for someone who simply deploys models or builds isolated copilots.
We are looking for someone who can partner with business leaders, engineers, analysts, and operations teams to design, build, deploy, and operate AI solutions that create measurable business value across the organization.
The ideal candidate combines hands-on engineering skills with architectural thinking and thrives in a fast-moving environment where experimentation, discipline, security, and continuous learning matter equally.
Position Summary
As MLG Capital continues to expand its Enterprise Data, Analytics, and AI capabilities, this role will help define and build the foundation for AI-enabled workflows, intelligent applications, decision-support systems, and enterprise AI platforms.
You will work across business functions including Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology to identify opportunities, prototype solutions, productionize AI systems, and establish long-term standards for responsible AI adoption.
This role requires a builder's mindset, a strong software engineering foundation, and a passion for emerging AI technologies.
What You'll Do
AI Product Development
  • Design and develop AI-powered applications, agents, copilots, and decision-support systems
  • Build retrieval-augmented generation (RAG) solutions leveraging enterprise data sources
  • Develop and deploy agentic workflows using modern orchestration patterns
  • Build reusable AI services that can be leveraged across the organization
  • Evaluate emerging AI technologies and determine practical business applications

Software Engineering & Architecture
  • Design, build, and maintain scalable cloud-native applications
  • Develop APIs, integrations, backend services, and automation workflows
  • Establish software engineering standards for AI-enabled products
  • Create reusable components, development frameworks, and deployment patterns
  • Contribute production-ready code across frontend, backend, and cloud environments

Machine Learning & AI Engineering
  • Evaluate and implement machine learning and AI solutions across a variety of business use cases
  • Assess model performance, accuracy, drift, reliability, and operational effectiveness
  • Develop evaluation frameworks and testing methodologies for AI systems
  • Design architectures that balance model quality, latency, security, and cost
  • Stay current with advancements in LLMs, agents, reasoning models, MCP, machine learning, and enterprise AI platforms

Enterprise AI Platform Development
  • Help establish MLG's long-term AI platform strategy
  • Create AI capabilities that compound over time and avoid siloed point solutions
  • Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Fabric, OneLake, Power Platform, Azure, and other enterprise systems
  • Build governed and scalable AI infrastructure supporting multiple business functions
  • Partner with business teams to identify high-value AI opportunities

Security, Governance & Responsible AI
  • Design AI solutions that operate within a regulated and investor-focused environment
  • Implement governance, security, monitoring, auditability, and compliance controls
  • Ensure enterprise AI solutions align with organizational data policies and security requirements
  • Establish best practices for responsible AI adoption and operational excellence

Requirements
What We're Looking For
Required Experience
  • 5+ years of software engineering, cloud engineering, machine learning, AI engineering, or related experience
  • Experience building and deploying production applications
  • Experience working directly with business stakeholders to solve real-world problems
  • Strong understanding of modern software engineering practices including CI/CD, testing, version control, and deployment automation
  • Experience designing scalable cloud-based architectures

AI & Data Experience
Experience with many of the following:
  • Azure OpenAI
  • Azure AI Foundry
  • Microsoft Copilot
  • Copilot Studio
  • Azure AI Search
  • RAG architectures
  • Agentic workflows
  • Machine Learning
  • Prompt Engineering
  • Model evaluation and testing
  • Azure Machine Learning
  • MCP (Model Context Protocol)
  • Semantic Kernel
  • LangGraph, AutoGen, CrewAI, or similar frameworks

Technical Skills
Preferred experience in several of the following:
  • Python
  • C#
  • TypeScript / JavaScript
  • .NET
  • React
  • Node.js
  • REST APIs
  • SQL
  • Data engineering and cloud platforms

Microsoft Ecosystem Experience
Preferred experience with:
  • Microsoft 365
  • SharePoint Online
  • Teams
  • Fabric / OneLake
  • Purview
  • Entra ID
  • Power Platform
  • Power Automate

Success in This Role
A successful candidate will:
  • Build AI solutions that generate measurable business value
  • Help establish MLG's AI engineering standards and best practices
  • Accelerate responsible AI adoption across the organization
  • Develop reusable AI capabilities rather than isolated tools
  • Balance innovation with governance and security
  • Continuously evaluate emerging technologies and translate them into practical business outcomes

Why Join MLG Capital?
MLG Capital is entering a pivotal phase in its AI journey.
You will join a team that is actively investing in enterprise data, analytics, AI, and automation capabilities across the business. This role offers the opportunity to influence platform strategy, shape technical direction, and develop innovative solutions within a growing private real estate investment firm.
If you enjoy solving difficult business problems, building modern software, exploring emerging AI technologies, and helping organizations transform through intelligent systems, we'd love to talk with you.
Additional Notes:
Physical Requirements: Ability to operate office machinery; including but not limited to: telephone, computer, copy machine, fax machine, printer, and mobile phone. Ability to sit for extended periods (up to 4 hours) and use a computer for up to 8 hours per day. Ability to lift up to 10 pounds on an occasional basis.
Working Conditions: Open office workstation environment, quiet to moderate noise levels.
SEC Compliance: As MLG has a subsidiary Registered Investment Adviser, many employees are subject to SEC-mandated compliance requirements. As part of these requirements, employees must disclose personal brokerage accounts and financial holdings, for themselves and any household members whose investment activities they influence.
This information is collected solely for regulatory compliance and conflict of interest monitoring. All disclosures are handled with strict confidentiality and are accessible only to the Chief Compliance Officer and designated compliance personnel when a business or SEC related need arises
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.
In compliance with the Americans with Disabilities Act, a "reasonable accommodation" will be made for an individual with a known physical or mental limitation unless it would require an action of significant difficult causing undue hardship.
This document covers the most significant duties performed but does not exclude other occasional work assignments not mentioned.

Apply