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Gen Ai Developer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$100 - $125/hr

... Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with ... As a Sales Engineer, you will play a pivotal role in driving new customer opportunities and ...

WI · On-site

$125 - $150/hr

... Gen AI related development experience. * Working knowledge of AWS fundamentals, including console and CLI navigation, IAM basics, and CloudWatch. * Experience with DevOps practices and tools such as ...

WI · On-site

$60 - $80/hr

... its focus on AI prompt engineering and the use of AI to accelerate and optimize creative ... Ability to work with and learn Gen AI content creation techniques. * Where required, brief global ...

By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate ... Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ...

Senior Staff Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Applies AI & Technology - Identifies opportunities to boost efficiency and add value using AI and ... gen dev tools. * Act as a technical mentor, shaping the growth of senior and staff engineers ...

Domain Consultant 2

Oregon, WI · On-site

$150 - $200/hr

... Gen AI-powered security operations platform. You will play a key role in defining technical ... sales engineering within SIEM, SOAR, SOC, and/or XDR/EDR environments * IBM QRadar design ...

New

WI · On-site

$100 - $125/hr

Deeply involvement in the new product development with cutting edge of new Gen CPU/AI server power ... Engineers * Design EVM and internal evaluation boards to support correlation and evaluation ...

WI · On-site

$150 - $200/hr

Whetheryou'redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge ... ACADEMIC CREDENTIALS: * Bachelor's or Master's degree in computer engineering, Electrical ...

New

WI · On-site

$150 - $200/hr

Engineering Requisition Number : SENIO009992 * Posted : August 14, 2026 * Full-Time * Remote ... With our expertise AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure ...

WI · On-site

$125 - $150/hr

Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ... THE ROLE Global Cluster Engineering (GCE) at AMD has a unique opportunity for a Cluster ...

WI · On-site

$250/hr

Drive Next-Gen Operational Innovation: Champion the integration of AI capabilities and automated ... engineering teams. * Technical Depth & Domain Acumen: Sufficient technical depth in cloud ...

New

WI · On-site

$150 - $200/hr

Whetheryou'redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge ... The Technical Project Manager will lead key engineering initiatives and manage AI Data Center ...

Posted today

WI · On-site

$80 - $100/hr

We build next-gen B2B SaaS products and enterprise AI solutions, always with an entrepreneurial ... About the position We're looking for a creative problem solver with an engineering mindset who is ...

Showing results 21-40

Gen Ai Developer information

See Wisconsin salary details

$19

$45

$101

How much do gen ai developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for gen ai developer in Wisconsin is $45.71, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $55.34 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What are the key skills and qualifications needed to thrive as a Gen AI developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

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

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

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

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

What cities in Wisconsin are hiring for Gen Ai Developer jobs?

Cities in Wisconsin with the most Gen Ai Developer job openings:

Infographic showing various Gen Ai Developer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $95,081 per year, or $45.7 per hour.

Cyber Forward Deployed Engineer - Senior Consultant

Deloitte

Milwaukee, WI • On-site

Full-time

Posted 28 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns. 
  • Cloud certifications (AWS, Azure, GCP). 
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch). 

Compensation 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100. 

#CyberCtBEngg 

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-na...

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