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Augmented Reality Ai Jobs in Utah (NOW HIRING)

Lucid Software

Product Manager, AI

Salt Lake City, UT · On-site

... to reality. Our products, business, and workplace culture have received numerous awards, such as ... use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality ...

Lucid Software

Product Manager, AI

Salt Lake City, UT · On-site +1

... to reality. Our products, business, and workplace culture have received numerous awards, such as ... use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality ...

Brex

Manager, CX AI Strategy

Salt Lake City, UT · On-site

We make this a reality by empowering you with the tools, resources, and support you need to grow ... Define the standard for what an AI-augmented CX team looks like at Brex: how AI agents and human ...

Meta

Critical Facility Engineer

Eagle Mountain, UT · On-site

$88K/yr

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

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Augmented Reality Ai information

What is an augmented reality AI specialist?

An Augmented Reality (AR) AI specialist is a professional who combines artificial intelligence (AI) with augmented reality technologies to create interactive, intelligent digital experiences that overlay information or objects onto the real world. They design and develop AR applications that use AI to recognize images, interpret environments, or personalize user experiences. These specialists typically work in industries like gaming, education, retail, and healthcare, helping to bridge the gap between digital data and the physical world.

What are the key skills and qualifications needed to thrive as an augmented reality AI engineer?

To thrive as an Augmented Reality AI Engineer, you need expertise in computer vision, machine learning, 3D modeling, and programming languages such as Python, C++, or Unity, often supported by a relevant degree in computer science or engineering. Familiarity with AR development platforms (like ARKit, ARCore, or Unity), AI frameworks (such as TensorFlow or PyTorch), and experience with hardware integration are typical requirements. Creativity, problem-solving, and strong collaboration skills help drive innovation and seamless user experiences in AR environments. These combined skills are crucial for developing robust, interactive AR applications that effectively leverage AI technologies.

What are the typical challenges faced when integrating AI into augmented reality projects?

Integrating AI into AR projects often involves navigating challenges such as optimizing performance on mobile devices, ensuring real-time data processing, and maintaining seamless user experiences. Collaboration with cross-functional teams—including software engineers, designers, and data scientists—is essential to address these complexities. Additionally, professionals in this role must adapt to rapidly evolving technologies and troubleshoot unique issues that arise from combining AI models with AR platforms. Staying up-to-date with the latest advancements and fostering strong communication within the team are key to overcoming these challenges.

What is the difference between Augmented Reality Ai vs Augmented Reality Developer?

AspectAugmented Reality AiAugmented Reality Developer
Required CredentialsTypically degrees in AI, computer science, or related fields; certifications in AI and machine learningDegrees in computer science, software engineering, or related fields; experience with AR development tools
Work EnvironmentResearch labs, tech companies, AI-focused startupsDesign studios, tech companies, software development firms
Industry UsageAI integration in AR applications, data analysis, machine learning modelsCreating AR applications, user experience design, app development

Augmented Reality Ai focuses on integrating AI and machine learning into AR systems, often involving data analysis and intelligent features. In contrast, Augmented Reality Developers primarily design and build AR applications, emphasizing programming and user experience. Both roles are essential in AR technology but serve different functions within the industry.

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The top searched job categories for Augmented Reality Ai jobs in Utah are:

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Augmented Reality Ai jobs near you

Product Manager, AI

Lucid Software

Salt Lake City, UT • On-site

Full-time

Re-posted 14 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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