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Remote Generative Ai Engineer Jobs in Milwaukee, WI

Data Scientist Analyst

Waukesha, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply NLP techniques and prompt engineering to build conversational and generative AI systems. * Develop APIs using FastAPI or Flask for model serving and integration. * Execute algorithms to address ...

Data Scientist Analyst

Waukesha, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply NLP techniques and prompt engineering to build conversational and generative AI systems. * Develop APIs using FastAPI or Flask for model serving and integration. * Execute algorithms to address ...

Epic Denials Management Operator

Milwaukee, WI · Remote

$17.75 - $23.75/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI Services, and Python-based data science solutions * Referenceable work history developing ... This remote role is only open to individuals that reside in one of the following states at the time ...

Senior Data Engineer

Brookfield, WI · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI Services, and Python-based data science solutions * Referenceable work history developing ... This remote role is only open to individuals that reside in one of the following states at the time ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI Services, and Python-based data science solutions * Referenceable work history developing ... This remote role is only open to individuals that reside in one of the following states at the time ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Showing results 21-40

Remote Generative Ai Engineer information

See Milwaukee, WI salary details

$37.4K

$114.2K

$188.7K

How much do remote generative ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote generative ai engineer in Milwaukee, WI is $114,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $149,300.00 per year, depending on experience, location, and employer.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

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

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are the most commonly searched types of Generative Ai Engineer jobs in Milwaukee, WI?

The most popular types of Generative Ai Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Milwaukee, WI?

For Remote Generative Ai Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Remote Generative Ai Engineer jobs?

Cities near Milwaukee, WI with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $114,155 per year, or $54.9 per hour.

Integration Developer - Integrations, Data & AI Solutions

boelter

Pewaukee, WI • On-site, Remote

$49.25 - $65.25/hr

Full-time

Re-posted 7 days ago


Job description

Integration Developer – Integrations, Data & AI Solutions

Location: Pewaukee, WI / Hybrid or Remote Considered

Belong to the Boelter community that brings people together...

We value the individual where your unique perspective builds a stronger community and fuels our passion for authentic relationships.

Boelter is looking for an Intermediate Developer who is ready to help shape the next generation of business technology. This role is ideal for a creative, curious, and self-driven developer who enjoys solving practical business problems, integrating enterprise systems, and exploring how AI can make work faster, smarter, and more scalable.

As part of a strong and collaborative IT team, this person will work across key platforms including SAP, Microsoft Fabric, Cleo Integration Cloud for EDI, data warehouse solutions, and emerging AI-enabled tools. The work will focus on building reliable integrations, improving business processes, strengthening data flow across systems, and creating efficiency solutions that help Boelter associates serve customers better.

Why This Role Is Exciting
  • Be part of Boelter’s growing AI journey, where new ideas are being tested, piloted, and scaled into real business solutions.
  • Work with enterprise platforms that matter, including SAP, Microsoft Fabric, Cleo, EDI, data warehouse tools, and modern integration patterns.
  • Use AI not only as a personal productivity enhancer, but as a way to improve applications, automate manual work, and create better user experiences.
  • Join a team that values experimentation, practical problem solving, knowledge sharing, and continuous improvement.
  • Make a visible impact by helping simplify processes, improve data quality, reduce manual effort, and enable smarter decisions across the business.
What You’ll Do
  • Design, build, test, and support integrations between core business systems such as SAP, Microsoft Fabric, Cleo, EDI partners, data warehouse environments, and internal business applications.
  • Develop solutions that improve process efficiency, reduce manual work, and support cleaner, more reliable data movement across the enterprise.
  • Partner with business users, analysts, and other IT team members to understand needs, clarify requirements, and deliver practical technology solutions.
  • Support EDI and integration workflows, including troubleshooting data movement, monitoring failures, improving exception handling, and strengthening reliability.
  • Use AI tools thoughtfully to accelerate development, improve documentation, support testing, analyze business processes, and identify automation opportunities.
  • Contribute to AI-enabled solution design, including agents, assistants, automation flows, data-driven recommendations, and productivity-enhancing tools.
  • Create and maintain technical documentation, integration notes, support guides, and knowledge-sharing materials for the broader team.
  • Continuously learn new tools and approaches, bringing forward ideas that can improve how Boelter works and serves customers.
What We’re Looking For
  • 3–5+ years of professional software development, integration, data engineering, or business systems development experience.
  • Hands-on experience integrating enterprise systems, APIs, databases, middleware, EDI platforms, or business applications.
  • Familiarity with SAP or similar ERP environments, including data flows, business processes, interfaces, or reporting needs.
  • Experience with Microsoft Fabric, Power BI, data warehouse concepts, SQL, ETL/ELT patterns, or modern analytics platforms.
  • Experience with Cleo Integration Cloud, EDI, or similar integration tools is a plus.
  • Practical understanding of automation, workflow improvement, and process efficiency solutions.
  • Strong curiosity about AI tools and a demonstrated willingness to use them responsibly to improve personal productivity, development quality, documentation, testing, and solution design.
  • Creative problem solver who is comfortable asking questions, learning new systems, and turning business needs into reliable technical solutions.
  • Self-driven and accountable, with the ability to manage work independently while actively contributing to a collaborative team environment.
  • Strong communication skills, including the ability to explain technical concepts clearly to business partners and teammates.
How You’ll Work

This role is designed for someone who thrives in a team-oriented environment but does not wait to be told what to do. You will have the opportunity to take ownership, explore new technologies, recommend better approaches, and help turn ideas into working solutions. We are looking for someone who brings energy, curiosity, and craftsmanship to the work—and who sees AI as both a tool for getting better individually and a platform for creating smarter business solutions.

Our Values

At Boelter, how we work matters as much as what we deliver. We look for team members who bring our values to life through their actions, decisions, and relationships.

  • Do What’s Right: Build solutions with integrity, reliability, security, and long-term business value in mind.
  • Own It: Take accountability for your work, follow through on commitments, and continuously look for ways to improve.
  • Make It Easy: Simplify processes, reduce friction, and create technology solutions that are practical and easy for associates and customers to use.
  • Win Together: Collaborate across IT and the business, share knowledge, and help others succeed.
  • Be Curious: Ask thoughtful questions, learn continuously, experiment with new tools, and explore how AI can unlock better ways of working.
Why Boelter

Boelter is investing in modern technology, better data, stronger integrations, and practical AI-enabled solutions that help our teams work smarter and serve customers better. This is a chance to join a company where technology is not just a support function it is a driver of innovation, efficiency, and competitive advantage.

For a developer who wants to grow, learn, and contribute to meaningful transformation, this role offers the opportunity to work with enterprise platforms, influence how AI is applied in real business scenarios, and be part of a team that is building the future of work at Boelter.

Ideal Candidate Summary

The ideal candidate is an intermediate developer who combines technical capability with curiosity, initiative, and a strong desire to solve business problems. They are comfortable working with integration, data, EDI, and automation; excited by the potential of AI; and motivated by the opportunity to help create practical solutions that improve how people work every day.