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Ai Monitoring Jobs in Utah (NOW HIRING)

Motivosity

AI Product Builder

Lehi, UT · On-site

Monitor usage, quality, cost, latency, errors, and user feedback after launch. * Work directly with ... Practical experience using AI tools to accelerate engineering work. * Hands-on experience with LLMs ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Monitor usage, quality, cost, latency, errors, and user feedback after launch. * Work directly with ... Practical experience using AI tools to accelerate engineering work. * Hands-on experience with LLMs ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Monitor usage, quality, cost, latency, errors, and user feedback after launch. * Work directly with ... Practical experience using AI tools to accelerate engineering work. * Hands-on experience with LLMs ...

Podium

Staff AI Engineer - Utah

Lehi, UT · On-site

Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. * Collaborate with engineers, product managers, and AI ...

Podium

Staff AI Engineer - Utah

Lehi, UT

Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. * Collaborate with engineers, product managers, and AI ...

Podium

AI Onboarding Specialist

Lehi, UT

... monitoring to bring about the successful completion of new customer implementation. The Onboarding Manager also has a major role in creating new processes internally and needs to be able to adjust ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. * Collaborate with engineers, product managers, and AI ...

Podium

Staff AI Engineer - USA

Lehi, UT · On-site +1

Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. * Collaborate with engineers, product managers, and AI ...

Atonom

Associate AI Operations

Provo, UT · On-site

Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base. * Join client calls to understand operational needs and translate them into AI workflow configurations ...

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

We are seeking an experienced Senior-Level AI Solutions Architect that will focus on leading the architecture and design around the creation, implementation, and monitoring of innovative AI solutions ...

Podium

AI Onboarding Specialist

Lehi, UT · On-site

... monitoring to bring about the successful completion of new customer implementation. The Onboarding Manager also has a major role in creating new processes internally and needs to be able to adjust ...

Atonom

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base. * Join client calls to understand operational needs and translate them into AI workflow configurations ...

Atonom

Associate AI Operations

Provo, UT · On-site

Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base. * Join client calls to understand operational needs and translate them into AI workflow configurations ...

Zions Bank

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

We are seeking an experienced Senior-Level AI Solutions Architect that will focus on leading the architecture and design around the creation, implementation, and monitoring of innovative AI solutions ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency. * Collaborate with engineers, product managers, and AI ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

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

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

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

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

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI Product Builder

Lehi, UT • On-site

Motivosity
Human Resources Consulting Services • 11 - 50 employees
Learn more about Motivosityexternal

Full-time

Re-posted 18 days ago

Job description

About Motivosity

Motivosity is an employee recognition, rewards, and engagement platform. We help companies build cultures where people feel seen, connected, and appreciated - through peer-to-peer recognition, awards and milestones, spending accounts, manager tools, and eNPS surveys that track how engagement moves over time.

Our engineering mission is to delight customers through unparalleled speed, quality, and reliability. That commitment is concrete: rewards and recognition are delivered on time, to the right person, with the correct reward; every financial transaction is recorded and reconciled; and the platform is built to scale to companies of 100,000+ employees without disruption.

About the role

We're hiring an AI Product Builder to help us turn Motivosity into an AI-first platform - and to ship the practical AI features and internal tools that prove it.

Motivosity is putting more product ownership and decision-making into the hands of the people closest to the code, the customer problem, and the technical possibilities. This is not a narrow frontend, backend, ML, or prompt-engineering role. We're looking for someone who can own a full product workflow end-to-end and use AI to move faster, fill gaps, prototype quickly, and ship useful software.

The goal is not flashy demos. The goal is to ship software that saves time, improves quality, and creates measurable value for our customers and internal teams - in a recognition-and-rewards space where we intend to be the technology leader for AI.

What you'll do

  • Own AI-powered product and internal workflow projects from start to finish.
  • Turn ambiguous ideas into working software without needing every requirement defined upfront.
  • Make product and technical decisions based on customer value, feasibility, risk, and speed of learning.
  • Build across the full stack: frontend, backend, APIs, databases, integrations, AI workflows, tests, and deployment.
  • Use AI tools as your default execution layer for design, coding, testing, debugging, documentation, and analysis - then apply your own judgment to review and approve the result.
  • Build practical AI features using LLMs, structured outputs, retrieval, agents, and tool-calling where appropriate.
  • Create simple evals and feedback loops to verify AI features actually work.
  • Monitor usage, quality, cost, latency, errors, and user feedback after launch.
  • Work directly with product, engineering, support, customer success, and leadership to find high-value problems.
  • Ship small, useful things quickly and iterate based on real usage.

What we're looking for

  • Strong full-stack engineering experience and the ability to own production-quality code.
  • Ability to independently own projects from discovery through production.
  • Strong product judgment and the ability to make decisions without waiting for perfect requirements.
  • Strong backend, frontend, database, and API skills.
  • Experience building real software, not just prototypes.
  • Practical experience using AI tools to accelerate engineering work.
  • Hands-on experience with LLMs, agents, retrieval/RAG, structured outputs, or AI workflow automation.
  • Comfort working directly with customers, internal users, PMs, designers, and business leaders.
  • Strong debugging skills across the entire stack.
  • Good judgment around security, privacy, permissions, and customer trust - especially important given we handle company budgets, employee wallets, and PII.
  • Clear communication with both technical and non-technical teams.

Nice to have

  • Java / Spring Boot experience.
  • TypeScript, Angular, React, or similar frontend experience.
  • AWS or cloud deployment experience.
  • Experience with OpenAI, Anthropic, Gemini, Bedrock, LangChain, LangGraph, Langfuse, LangSmith, Braintrust, or similar tools.
  • Experience building or consuming MCP servers / connectors.
  • Experience in B2B SaaS, HR tech, customer support, customer success, or internal automation workflows.

If you're an engineer who wants to own real problems end-to-end, use AI as a force multiplier, and help define how AI shows up in the recognition space we'd love to talk!

Employment Type: FULL_TIME

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