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Data Ai Jobs in Wisconsin (NOW HIRING)

The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company's strategic goals and ...

The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company's strategic goals and ...

Posted today

WI · On-site

$100 - $130/hr

Moderne data & AI platformen van de toekomst in te richten met de laatste technologieën. Wij kijken uit naar een AI Architect om ons team te versterken. In deze rol werk je nauw samen met klanten om ...

WI · On-site

$79.93 - $114.18/hr

As a Data & AI Product Owner, you develop and maintain the vision for your Data & AI products and services; you set the priorities with the team and with your main stakeholders. You discuss future ...

WI · On-site

$90 - $120/hr

Als Presales Data & AI Solution Architect binnen ons Data & AI team bij Cegeka speel je een sleutelrol in het binnenhalen van nieuwe data- en AI-trajecten, je begeleidt het volledige presalestraject ...

WI · On-site

$80 - $100/hr

Dan heeft Cegeka's Data & AI team de uitdaging voor jou! We kijken uit naar een Data Governance Lead. * Als Data Governance Lead binnen het Data & AI team ben je verantwoordelijk voor het ontwerpen ...

WI · On-site

$80 - $100/hr

Dan is de rol van Lead Data Analyst binnen ons Data & AI team misschien interessant voor jou! * Als Lead Data Analyst combineer je technische expertise met klantgericht advies. Je neemt ownership ...

The Data & AI Project Analyst serves as the field‑facing connector between project teams, account leadership, owners/JV partners, and DPR's Technology & Innovation groups. * Engage early to shape ...

WI · On-site

$180 - $240/hr

## Head of AI and Data Platform Engineering - Specialty DistributionApplyremote type: Hybrid Workinglocations: Plano, TX, USA: Daytona Beach, FL, USAtime type: Full timeposted on: Posted Todayjob ...

WI · On-site

$80.58 - $115.11/hr

Het data engineering team dat jij versterkt, ontwikkelt de bouwstenen voor data pipelines op ons big data-platform op AWS. Dit multitenant platform ondersteunt de digitale transformatie en AI ...

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Data Ai information

What is a Data AI?

A Data AI job involves working with artificial intelligence and data to analyze, process, and extract insights for decision-making. Professionals in this field use machine learning, data science, and analytics to develop models that improve business processes. They may work on tasks such as automating data workflows, optimizing AI algorithms, or building predictive models. Data AI roles can be found in industries like healthcare, finance, and technology, helping organizations leverage AI for better outcomes.

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

To thrive as a Data AI professional, you need strong expertise in data analysis, machine learning, and programming, generally supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, SQL, TensorFlow, and cloud platforms, along with relevant certifications like AWS Certified Machine Learning or Microsoft Azure AI, is highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help individuals excel in cross-functional team settings. These skills and qualities enable effective development, deployment, and interpretation of AI-driven data solutions that drive business impact.

What are some common challenges faced by Data AI professionals, and how can they be addressed?

Data AI professionals often encounter challenges such as working with unstructured or incomplete data, integrating AI models within existing business systems, and keeping up with rapidly evolving technologies. Collaborating closely with data engineers, software developers, and business stakeholders is key to creating practical solutions that meet organizational needs. Staying proactive by regularly upskilling and participating in industry forums or trainings can help overcome technical hurdles. Many employers support continuing education, which helps Data AI professionals remain effective and innovative in their roles.

What are the most commonly searched types of Data Ai jobs in Wisconsin?

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

What are popular job titles related to Data Ai jobs in Wisconsin?

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

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

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

Infographic showing various Data Ai job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Data & AI Architect

Waukesha, WI • On-site


Generac
1 - 10 employees

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

355th of 494 rated machine equipment manufacturers

Recommended by students

Paid breaks

Respectful managers


Full-time

Posted 6 days ago


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company's strategic goals and objectives.

This role requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to deliver scalable and innovative AI solutions.

Major Responsibilities :

  • Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI systems. Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud.

  • Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment with business objectives.

  • Collaborate with data scientists, data engineers, business functional and product teams to integrate Data & AI solutions into production environments.

  • Advice, oversee the evaluation and adoption of Data & AI technologies, tools, and platforms.

  • Serve as the technical leader and mentor to Data & AI and engineering teams.

  • Deliver scalable, secure, and optimized Data & AI solutions.

  • Lead Data & analytic literacy of the organization and serve as a translator of deep technical concepts into simple business vernacular.

  • Be aware and lead industry trends and advancements in Data & AI to help maintain a competitive edge.

  • Communicate complex technical concepts to non-technical stakeholders effectively.

This is an individual contributor role.

Minimum Job Requirements:

Education

Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field also acceptable.

Work Experience

  • 8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role.

  • Proven track record of designing and deploying large-scale Data & AI systems in production environments.

  • Experience leading cross-functional teams in the delivery of complex AI projects.

  • Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Knowledge / Skills / Abilities

  • Must be deeply curious, desire to experiment.

  • Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.

  • Strong proficiency in programming languages such as Python, R, or Java.

  • Ability to design scalable, secure, and efficient AI architectures.

  • Exceptional problem-solving and analytical skills.

  • Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration.

  • Excellent communication skills, capable of translating technical concepts to diverse audiences.

  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities.


Preferred Job Requirements:

Education

  • Ph.D. In Operations Research, Data Science, or a closely related field.

  • Master's degree in a relevant field with significant research or project work in AI or machine learning.

Certification / License

  • Relevant certifications such as AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate.

Work Experience

  • Experience with generative AI and reinforcement learning.

  • Knowledge / Skills / Abilities

  • Publications or patents in AI, machine learning, or related fields.

  • Familiarity with DevOps practices and MLOps pipelines for AI deployment.

  • Experience in industries such as healthcare, finance, or technology.

Physical Requirements and Working Conditions

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."



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