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Remote Generative Ai Engineer Jobs in Milwaukee, WI

INNIO

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables ... This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ...

Innio

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables ... This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ...

Mondo

IT Architect V

Racine, WI · Remote

$65 - $80/hr

Remote Start Date: ASAP Duration: Contract, 6 months Compensation Range: $65-$80/hr Benefits ... and AI services. * Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps ...

Deloitte

System Test and Validation Lead

Milwaukee, WI · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Milwaukee, WI · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Milwaukee, WI · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

PERFECTUS LABS LLC

Director of AEO

Milwaukee, WI · Remote

Remote (Central or Eastern Time Zone Required) Schedule: Mon-Fri, 8 AM - 5 PM EST or 9 AM - 6 PM ... Continuously evolve strategies to align with AI-driven search ecosystems (e.g., Google SGE, LLM ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Milwaukee, WI

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 19, 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:

Remote Generative Ai Engineer jobs near you
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.

Sales Applications Engineer

INNIO

Waukesha, WI • On-site, Remote

$104K - $128K/yr

Full-time

Re-posted 16 days ago

Job description

About INNIO Group:

INNIOGroupis aglobaldistributed energy solutions provider that delivers reliable, flexible, transient, decentralized,modularand efficient power.Witha track recordofinnovation, INNIO designs, manufactures and services highperformance power systemsunder its Jenbacher and Waukesha brands.The company delivers power for applications including data centers, microgrids, grid stabilization, industrialenergyand gas compression.

INNIO operates a global installed baseacross approximately100 countriesas of December 31, 2025, supported by a resilient, highmargin services business that delivers longterm, recurring revenues across the full equipment lifecycle. As electricity demand accelerates-driven by AI,electrificationand grid constraints-INNIO enables scalable, behindthemeter power generation with high efficiency, fast start capability, strongtransientperformanceand fuel flexibility, including hydrogenready solutions. INNIO employsover5,000 people worldwide and is committed to moving energy forward.

Overview:

Northeast-Western Energy Systems USA (NES WES), a division of INNIO, provides fully integrated Combined Heat and Power ("CHP") and Distributed Generation ("DG") power solutions through 10MW power blocks. Jenbacher CHP and DG solutions provide world class electrical-thermal efficiencies with industry leading emissions. Jenbacher CHP and DG Equipment provides best in class fuel flexibility with capabilities for natural gas, biogas, propane, syn gas and automated dual fuel systems.

NES WES has been in business for over 50 years and is known for our great customer service, innovative solution development and ability to adapt to changing markets. We hire the best in their fields -results-focused professionals with the skills to achieve project goals across multiple industries.Do you want to make a difference with your work? Take your career to the next level and join our team now!

Location:

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our NES-WESoffices in either Brea CA.or Bristol PAwould be preferred but notrequired.

Role Description:
TheSales ApplicationEngineer will support the Application Engineering Team's goal of providing customers and NES-WES SalesTeamthe technical information needed for project development, quoting, andfinalizingcontracts.He/Shewillalsodevelop budgeting tools and proposals for projects.
Essential Responsibilities:
  • Develop technical parameters and commercial proposals for project quoting.
  • Attend customer meetings with Business Development Managers
  • Serve as the key technical advisor to customers and Sales team
  • Act as quality control for project budgets and proposals before being sent to customers.
  • Develop technical data for distribution to consultants and engineers.
  • Develop strategic relationships with balance of plant (BOP) suppliers.
  • Incorporate feedback from Engineering and Product Support into sourcing BOP vendors selection and design criteria.
  • Review RFPs for determination of equipment and BOP configurations, develop comments/exceptions, and provide quotation
  • Assist in front end loaded engineering (FEL) Studies and be familiar with project economics
  • Lead technical and economic modeling of microgrid technologies for end user sites.
  • Attend and lead "lunch & learn" presentations for Key Accounts
  • Maintain a culture which values a high degree of collaboration, positive work environment, and high level of responsiveness
Qualification Requirements:
  • Mechanical or Electrical Engineering degree preferred. Other technical relevant industry experience may be considered
  • Excellent communication and listeningskills
  • 4+ years of technical experience in relevant industry, preferably with engines, rotating machinery, and power generation segments
  • Technical and commercial leadership capabilities
  • Capability and willingness to learn and develop
  • Ability to work collaboratively & navigate across multiple matrix organizations
  • High motivation level, self-starter with strong problem-solving capabilities
  • Strong negotiation skills - experience negotiating with customers, suppliers and different levels of management
  • Willingness to travel up to 30%
Employment Type: Experienced

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