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Remote Generative Ai Engineer Jobs in Sandy, UT (NOW HIRING)

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

  • Medical

  • Life

  • PTO

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

  • Medical

  • Life

  • PTO

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Life

  • PTO

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

Scrunch

Enterprise Customer Success Manager

Salt Lake City, UT · Remote

$140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... generative AI search optimization software solution. * Translate platform data into strategic ... Home office stipend so your workspace doesn\'t suck ️ Remote support: Phone and internet ...

EnerSys

Senior Finance AI & Automation Developer

Salt Lake City, UT · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Smartcat

Enterprise Client Executive

Salt Lake City, UT · On-site +1

Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill ... US - Remote Reports to: Sr. Director of Defend Account Management Segment: Enterprise & Strategic ...

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Showing results 21-40

All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Sandy, UT

Remote Generative Ai Engineer information

See Sandy, UT salary details

$36.1K

$110.1K

$182K

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

As of Aug 17, 2026, the average yearly pay for remote generative ai engineer in Sandy, UT is $110,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $144,000.00 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 job categories do people searching Remote Generative Ai Engineer jobs in Sandy, UT look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Remote Generative Ai Engineer jobs?

Cities near Sandy, UT with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

AI Solutions Engineer

Applause

Salt Lake City, UT • Remote

Full-time

Medical, Life, PTO

Posted 28 days ago

Job description

Hiring Manager: Jeff Martin, CTO


We're looking for an AI Solutions Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.

Responsibilities:

  • AI Workflow Roadmap & Delivery
    • Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
    • Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
    • Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
    • Iterate and fine-tune workflows post-launch based on usage and feedback
  • Systems & Integrations
    • Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
    • Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
    • Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
  • Adoption, Training & ROI
    • Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
    • Troubleshoot adoption issues directly with end users rather than escalating them
    • Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
    • Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
    • Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change

Requirements

    • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
    • 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
    • Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required
    • Programming Languages: Javascript/Typescript preferred
    • Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
    • Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
    • Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
    • Strong communicator who can train and troubleshoot with non-technical users
    • Detail-oriented with strong ownership over initiatives, start to finish
    • Very effective in a remote work environment

Benefits

Benefits: 100% remote w/ no office mandate | Unlimited PTO | 20 official company holidays | Health care | Life insurance | Stock options | Amazing colleagues | Energetic culture that is positive and celebrates together | Inspiring mission & software product | Ability to grow your career by being early in a fast-growing tech startup
About Applause

Applause is a SaaS start-up founded by experienced entrepreneurs and backed by the best VCs in Silicon Slopes. We’re focused on helping companies supercharge their team’s performance so they can win more lifelong customers. Learn more about our company and culture here: