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Embedded Ai Engineer Jobs in Orem, UT (NOW HIRING)

LVT

AI Specialist

American Fork, UT

... Engineering and the Automation Integrations team to build RAG pipelines, develop AI policy ... Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving ...

LVT

AI Specialist

American Fork, UT

... Engineering and the Automation Integrations team to build RAG pipelines, develop AI policy ... Audit and rationalize the AI capabilities embedded across LVT's existing tech stack -- driving ...

LVT

AI Specialist

American Fork, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineering and the Automation Integrations team to build RAG pipelines, develop AI policy ... Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving ...

Biolite

Embedded Systems Engineer II

Midvale, UT

$115K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Embedded Systems Engineer II Hours: Full-time Location: Midvale, UT (On-site with occasional remote ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

BioLite

Embedded Systems Engineer II

Midvale, UT · On-site

$115K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Embedded Systems Engineer II Hours: Full-time Location: Midvale, UT (On-site with occasional remote ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

Biolite

Embedded Systems Engineer II

Midvale, UT · On-site

$115K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Embedded Systems Engineer II Hours: Full-time Location: Midvale, UT (On-site with occasional remote ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

BioLite

Embedded Systems Engineer II

Midvale, UT · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Embedded Systems Engineer II Hours: Full-time Location: Midvale, UT (On-site with occasional remote ... Leverage modern AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants ...

LVT

Senior Embedded Software Engineer II, Edge

American Fork, UT · On-site

$110K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will bridge the gap between complex hardware requirements and our sophisticated AI platform ... software engineering experience, with a focus on embedded development. * Object-oriented and ...

Adobe

Senior Product Manager, Chief Accounting Office

Lehi, UT · On-site

$118K - $156K/yr

Partner with Adobe's AI/ML engineering teams and data scientists to design model training datasets ... Collaborate with SAP and cloud hyper scalers (AWS, Azure, GCP) to leverage embedded AI services ...

Cricut

Staff AI-Native Software Engineer

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff AI-Native Software Engineer to architect the future of a cross-platform ... Working knowledge of embedded and hardware integration: firmware constraints, command protocols ...

Cricut

Staff AI-Native Software Engineer

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff AI-Native Software Engineer to architect the future of a cross-platform ... Working knowledge of embedded and hardware integration: firmware constraints, command protocols ...

Cricut

Staff AI-Native Software Engineer

South Jordan, UT

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff AI-Native Software Engineer to architect the future of a cross-platform ... Working knowledge of embedded and hardware integration: firmware constraints, command protocols ...

Cricut

Staff AI-Native Software Engineer

South Jordan, UT

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff AI-Native Software Engineer to architect the future of a cross-platform ... Working knowledge of embedded and hardware integration: firmware constraints, command protocols ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Orem, UT

Embedded Ai Engineer information

See Orem, UT salary details

$60.9K

$133.3K

$151.3K

How much do embedded ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded ai engineer in Orem, UT is $133,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

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

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Orem, UT?

For Embedded Ai Engineer jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Orem, UT look for?

The top searched job categories for Embedded Ai Engineer jobs in Orem, UT are:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Orem, UT as of July 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $133,347 per year, or $64.1 per hour.

AI Specialist

LVT

American Fork, UT

Full-time

Re-posted 23 days ago

Job description

ABOUT THIS ROLE

LVT is looking for a hands-on AI practitioner to own and execute our AI initiatives across the organization. As an AI Specialist, you will build and ship production AI systems, shape how LVT adopts AI at scale, and partner cross-functionally to turn AI from an experiment into a competitive advantage. This is an individual contributor role reporting into IT leadership - you'll work directly with Data Engineering and the Automation Integrations team to build RAG pipelines, develop AI policy, rationalize our AI tool investments, and embed intelligent components within our automation workflows.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

  • Execute LVT's AI adoption strategy, owning the roadmap of AI initiatives and driving measurable business value across departments.

  • Develop and own LVT's internal AI policy framework, setting standards for responsible AI use, governance, and organizational readiness.

  • Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend.

  • Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions.

  • Architect the AI strategy at the intersection of automation - defining where and how AI augments workflows built on platforms like Workato and Oracle Integration Cloud (OIC).

  • Design and build the AI components embedded within automation flows, partnering with the Automation Integrations team to ensure seamless, intelligent execution.

  • Champion AI literacy and adoption across LVT, partnering with business leaders to identify high-impact opportunities and drive measurable outcomes.

  • Communicate AI strategy and progress to executive leadership, translating technical direction into clear business outcomes.

OUR IDEAL CANDIDATE

  • AI Practitioner First: You have built and shipped LLM-based systems in production - not just used AI-powered SaaS tools. Strategy matters, but your hands are in the code.

  • Proven AI Depth: You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work does not qualify. We need someone who can build the systems, not just use them.

  • Platform Fluent: You understand enterprise automation platforms (Workato, OIC, or equivalent) and can reason clearly about where AI fits within complex integration flows.

  • Tech Stack Evaluator: You know how to assess embedded AI features across SaaS and enterprise tools - cutting through vendor marketing to determine what's actually delivering value, what's redundant, and what should go.

  • Policy-Minded: You've developed or contributed to AI governance frameworks, usage policies, or organizational AI standards - and you understand the stakes of getting it right.

  • Cross-Functional Influencer: You build trust with engineering, operations, and executive stakeholders alike, and know how to move initiatives forward without direct authority over every team involved.

  • Data-Environment Comfortable: You're experienced working within data platforms (e.g., Snowflake, Cortex) and partnering with data engineering teams to bring AI models from concept to production.

  • Outcome-Oriented: You measure your work by business impact - adoption rates, efficiency gains, cost reduction - not by the sophistication of the model you shipped.

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