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Genai Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

Milliman is seeking a seasoned Manager of Software Engineering for the Data Curation team within ... GenAI-enabled development #J-18808-Ljbffr

Manager, AI Engineering

Milwaukee, WI · On-site

$140 - $190/hr

This includes solution architecture, engineering standards, GenAI application development, reusable technical patterns, integration design, production reliability, and sustainment. This leader will ...

New

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement. * Collaborate with stakeholders, data scientists, and full stack engineers to ...

As a Staff Engineer on the AI team , you'll design, build, and extend Sema4.ai 's cognitive ... Who You Are GenAI Expert You know how to make LLMs and agents do real work in production systems.

GenAI Expert : You understand how to use LLMs (and other cutting-edge models) to do useful work ... While not necessarily managing people directly, you'll mentor senior engineers, conduct technical ...

WI · On-site

As IntelliScript expands its use of GenAI in the software development lifecycle, you will help your ... CI/CD, infrastructure-as-code concepts, observability, incident management, and SRE-minded ...

New

WI · On-site

As IntelliScript expands its use of GenAI in the software development lifecycle, you will help your ... CI/CD, infrastructure-as-code concepts, observability, incident management, and SRE-minded ...

WI · On-site

$106.61 - $260.59/hr

AI & Cloud Engineering ... Design, build, and deploy production‑grade LLM and GenAI applications using the full breadth of ...

New

Showing results 41-60

Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Wisconsin? For Genai Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Wisconsin look for? The top searched job categories for Genai Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Genai Engineer jobs? Cities in Wisconsin with the most Genai Engineer job openings:
Infographic showing various Genai Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Remote Software Engineering Manager, Data & Backend Systems (Town of Brookfield)

Milliman

WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Milliman rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Milliman is seeking a seasoned Manager of Software Engineering for the Data Curation team within IntelliScript. You will lead backend services and data pipelines powering next-generation Insurtech products, partner with Product Management and Architecture, and drive modernization in a SAFe Agile setting.

Remote-capable with travel to Brookfield, WI as needed. You will guide a cross-functional Scrum team, balance people leadership with technical excellence, and advance GenAI-enabled development

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Hours and flexibility

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About Milliman

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Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947