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Remote Generative Ai Engineer Jobs in Wisconsin (NOW HIRING)

CSAA

Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Cognizant

Consulting Principal, AI Architect

Madison, WI · Remote

$122K - $194K/yr

... generative AI and agent-enabled solutions, including context engineering, RAG pipelines, and AI ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

Relativity

Principal Applied Scientist

Milwaukee, WI · On-site +1

$134K - $202K/yr

... generative AI solutions. * Work internally with our applied scientists, product managers, designers, engineers, and customer enablement teams to provide internal feedback and suggestions on the ...

Expleo

AI Business Analyst

Milwaukee, WI · Remote

$65 - $80/hr

Overview Location: Remote (Preferred locations Minneapolis MN., Denver CO. or Milwaukee WI ... Collaborate with forward-thinking teams including architects, engineers, UX designers, and ...

Expleo

AI Business Analyst

Milwaukee, WI · Remote

$65 - $80/hr

Remote (Preferred locations Minneapolis MN., Denver CO. or Milwaukee WI.) Employment Type ... Collaborate with forward-thinking teams including architects, engineers, UX designers, and ...

Wisconsin

AI Innovation Engineer

Madison, WI · On-site +1

$90K - $135K/yr

... AI Innovation Engineer who will collaborate with stakeholders and colleagues across UW-Madison ... Remote work requires an approved flexible work arrangement (FWA), which is reviewed and approved ...

Accenture

Digital Product Design Senior Manager

Milwaukee, WI · On-site +1

$124K - $164K/yr

Remote We Are: Accenture is helping enterprises reinvent their organizations and businesses ... Collaborate across diverse communities, including domain experts, AI engineers, AI scientists, and ...

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Remote Generative Ai Engineer information

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.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Engineer, and why are they important?

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 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 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 Remote Generative Ai Engineer jobs in Wisconsin? For Remote Generative Ai Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in Wisconsin look for? The top searched job categories for Remote Generative Ai Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Generative Ai Engineer jobs? Cities in Wisconsin with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you
Senior Software Engineer - Generative AI

Senior Software Engineer - Generative AI

Accuity

Sheboygan, WI • On-site, Remote

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
Acuity will include at least one in-person interview during the hiring process for all positions.
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:
Bachelor's degree or equivalent combination of education and experience in software engineering, computer science, or related field.
EXPERIENCE:
A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.
OTHER QUALIFICATIONS:
  • Expertise across a wide range of tools and technologies, including.
    • Programming languages such as Java, Python, and JavaScript.
    • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
    • Familiarity with web UI frameworks such as Vue, React, or Angular.
    • Knowledge of software development workflows, CI/CD pipelines and version control tools.
    • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
    • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
    • Familiarity with AI Observability tools to monitor and debug AI responses.
    • Understanding API Management, including rate limiting, latency, and token cost optimization.
    • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
  • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
  • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
  • Strong communication skills and ability to work with cross functional teams.
  • Excellence in documentation, testing practices, and operational reliability.
  • Ability to stay current with AI advancements, LLM research, and evolving best practices.
  • Passion for building reliable, safe, and impactful Generative AI systems.

*Acuity does not sponsor applicants for U.S. work authorization.*
This job is classified as exempt.
The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant's education, experience, knowledge, skills, and abilities.
For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
Acuity will include at least one in-person interview during the hiring process for all positions.
If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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