ZipRecruiter

Log In

1

Senior Generative Ai Engineer Jobs in Wisconsin (NOW HIRING)

Springs Window Fashions and Affiliated Companies

WI · On-site

$130 - $160/hr

Position Summary The Sr AI Engineer serves as a technical leader responsible for enterprise-scale ... Develop and operationalize generative AI applications leveraging large language models (LLMs ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Build and operationalize generative AI applications using large language models (LLMs), retrieval ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA ... Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA ... Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for ...

Springs Window Fashions

AI Engineer II

Middleton, WI

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications-LLMs, RAG, copilots, and ...

Springs Window Fashions

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications-LLMs, RAG, copilots, and ...

Springs Window Fashions

AI Engineer II

Middleton, WI

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications--LLMs, RAG, copilots, and ...

next page

Showing results 1-20

All JobsGenerative Ai Engineer JobsSenior Generative Ai Engineer JobsSenior Generative Ai Engineer Jobs in Wisconsin

Senior Generative Ai Engineer information

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.
What are the most commonly searched types of Generative Ai Engineer jobs in Wisconsin? The most popular types of Generative Ai Engineer jobs in Wisconsin are:
What are popular job titles related to Senior Generative Ai Engineer jobs in Wisconsin? For Senior Generative Ai Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Generative Ai Engineer jobs in Wisconsin look for? The top searched job categories for Senior Generative Ai Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Generative Ai Engineer jobs? Cities in Wisconsin with the most Senior Generative Ai Engineer job openings:
Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Senior AI Engineer

Springs Window Fashions and Affiliated Companies

WI • On-site

$130 - $160/hr

Other

Posted 5 days ago

Job description

Position Summary

The Sr AI Engineer serves as a technical leader responsible for enterprise-scale AI architecture, solution governance, and advanced AI engineering practices. This role drives strategic AI adoption and mentors engineering teams across the organization. This role will partner closely with Information Technology, business stakeholders, operations, customer service, product development, and analytics teams to deliver scalable AI capabilities that improve efficiency, enhance customer experiences, and enable data-driven decision making.

The ideal candidate combines strong software engineering fundamentals with practical expertise in machine learning, generative AI, data engineering, automation, and cloud technologies. This individual must be comfortable operating in a fast-paced, transformation-oriented environment and capable of translating business problems into production-ready AI solutions.

Key Responsibilities
  • Design, build, deploy, and maintain enterprise AI and machine learning solutions.
  • Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation.
  • Partner with business leaders to identify high-value AI use cases aligned to strategic priorities.
  • Build scalable AI pipelines, APIs, and integrations with enterprise platforms and business applications.
  • Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for AI initiatives.
  • Develop AI-enabled analytics and predictive models supporting manufacturing, supply chain, customer service, sales, and operations.
  • Implement AI governance, model monitoring, security, and responsible AI practices.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Evaluate emerging AI technologies and recommend enterprise adoption strategies.
  • Support AI experimentation, rapid prototyping, and innovation initiatives across the organization.
  • Create technical documentation, operational procedures, and knowledge transfer materials.
  • Mentor technical teams and promote AI engineering best practices.
Requirements

Required

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Advanced degree in Artificial Intelligence, Machine Learning, or Data Science preferred.
  • 8-10+ years overall technology experience
  • 5+ years focused in AI/ML engineering
  • Proven experience deploying enterprise-scale AI systems
  • Experience leading technical teams or major initiatives
  • Strong experience with AI architecture and distributed systems
  • Experience operationalizing generative AI at scale
  • Executive communication capability

Preferred

  • Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.
  • Manufacturing, supply chain, consumer products, or retail industry experience.
  • Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
  • Familiarity with data visualization and analytics platforms such as Power BI or Tableau.
  • Experience leading enterprise AI transformation initiatives.
  • AI governance frameworks
  • FinOps for AI workloads
  • Multi-cloud AI strategy
  • Experience building internal AI platforms or copilots
#J-18808-Ljbffr

Apply