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Senior Ai Developer Jobs in Utah (NOW HIRING)

Lucid Software

Product Manager, AI

Salt Lake City, UT · On-site +1

Stay at the forefront of modern AI, agentic systems, and developer tooling, bringing new technologies and approaches into product strategy where they create meaningful customer value. * Develop deep ...

Guru Technologies

Senior C# Software Developer

Layton, UT · On-site

$49.50 - $65.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior C# / .NET Software Engineer Compensation: Competitive, based on experience Type: Full-time ... AI can now generate substantial amounts of code, but experienced engineers are still needed to ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraging AI thoughtfully to optimize processes and workflows What will I need to thrive in this role? * Bachelor's degree in Computer Science, Data Science, or a related technical field (or ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Leveraging AI thoughtfully to optimize processes and workflows What will I need to thrive in this role? * Bachelor's degree in Computer Science, Data Science, or a related technical field (or ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraging AI thoughtfully to optimize processes and workflows What will I need to thrive in this role? * Bachelor's degree in Computer Science, Data Science, or a related technical field (or ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraging AI thoughtfully to optimize processes and workflows What will I need to thrive in this role? * Bachelor's degree in Computer Science, Data Science, or a related technical field (or ...

NICE

Senior Software Architect (AI, AWS, React, C#)

Sandy, UT · On-site

$123K - $167K/yr

Senior Software Architect - AI & Distributed SystemsOverview As a Senior Software Architect, you ... AI & Modern Engineering Integration * Integrate AI-assisted development practices into engineering ...

Fieldpiece Instruments

Senior Cloud and DevOps Engineer

Kamas, UT · On-site

$129K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Cloud and DevOps Engineer , you'll help build, operate, and continuously improve the ... Experience with AI-enabled platforms, automation, or data-intensive cloud environments.

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All JobsAi Developer JobsSenior Ai Developer JobsSenior Ai Developer Jobs in Utah

Senior Ai Developer information

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.

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

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

Which senior AI developer job is high paying?

Senior AI developer roles tend to be high paying in industries such as technology, finance, and healthcare, especially for those with expertise in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch. Salaries can vary based on location, company size, and individual skills, but senior positions often offer six-figure compensation packages.

What are the most commonly searched types of Ai Developer jobs in Utah?

The most popular types of Ai Developer jobs in Utah are:

What are popular job titles related to Senior Ai Developer jobs in Utah?

For Senior Ai Developer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Senior Ai Developer jobs in Utah look for?

The top searched job categories for Senior Ai Developer jobs in Utah are:

What cities in Utah are hiring for Senior Ai Developer jobs?

Cities in Utah with the most Senior Ai Developer job openings:

Senior Ai Developer jobs near you
Infographic showing various Senior Ai Developer job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Product Manager, AI

Lucid Software

Salt Lake City, UT • On-site, Remote

Full-time

Posted 25 days ago

Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

We are looking for a Product Manager to help us take our products to the next level by leveraging cutting-edge Artificial Intelligence. Are you a natural leader and a great teammate? Do you have a passion for elegant solutions, user experiences, and the massive potential of Generative AI? Are you drawn to work that is different every single day? If this is you, let's talk!

This PM will join a team focused on innovation and new product discovery, particularly in the area of emerging technology and AI. You will be joining a vibrant team of PM's that work on a variety of projects including bringing Lucid's Collaborative AI products, agentic workflows, and canvas-native generative features to market; rapid prototyping and derisking for new, visual-first experiences; and continuing to build out the underlying innovative technical AI platform that makes it all possible. On that team, you'll lead our AI platform and evaluation in partnership with our AI leadership group.

Responsibilities:
  • Partner with product teams to identify, test, and de-risk new AI capabilities, rapidly validating customer value through prototypes, experiments, and iterative learning.
  • Help shape how Lucid builds AI products by improving our product development process, evaluation strategy, and experimentation practices to support fast, high-confidence decision making.
  • Stay at the forefront of modern AI, agentic systems, and developer tooling, bringing new technologies and approaches into product strategy where they create meaningful customer value.
  • Develop deep customer expertise by understanding how people think, collaborate, and solve problems visually, then translate those insights into AI experiences that feel natural, useful, and trustworthy.
  • Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering, Design, Data Science, and Product teams to deliver scalable foundations that enable innovation across the organization.
Requirements:
  • 4+ years of product management experience building successful B2B SaaS products, with a track record of leading complex, cross-functional initiatives from concept through launch.
  • Experience bringing agentic AI products and capabilities to market, operating in fast-moving, ambiguous environments where customer needs, models, and technology evolve rapidly.
  • Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and cost.
  • Exceptional product judgment, with the ability to identify emerging technology opportunities, prioritize customer problems, and influence technical and business stakeholders across the organization.
  • Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and Go-to-Market teams to deliver high-impact customer experiences.
Preferred Qualifications:
  • Direct experience leading innovation or new product discovery teams, especially in the areas of rapid learning, AI iteration, and derisking non-deterministic features
  • Experience with visual collaboration, spatial computing, or digital whiteboarding platforms
  • Experience mentoring other PMs on AI product lifecycle best practices


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