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Ai Monitoring Jobs in Utah (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

Broccoli AI

Customer Success Manager

Lehi, UT · On-site

Drive adoption and usage of Broccoli's AI agents * Identify and execute expansion opportunities : * More call volume * More products (inbound, outbound, QA, etc.) * More locations * Monitor account ...

Broccoli AI

Customer Success Manager

Lehi, UT · On-site

$95K - $120K/yr

Drive adoption and usage of Broccoli's AI agents * Identify and execute expansion opportunities : * More call volume * More products (inbound, outbound, QA, etc.) * More locations * Monitor account ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

About the Role AI is becoming part of the product and platform architecture we need to build ... monitoring. * Instrument agentic systems for observability, including traces of model calls ...

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

About the Role AI is becoming part of the product and platform architecture we need to build ... monitoring. * Instrument agentic systems for observability, including traces of model calls ...

Broccoli AI

Implementation Manager

Lehi, UT · On-site

$85K - $95K/yr

Monitor early adoption closely, identify risks, and ensure accounts hit key milestones in the first 30-60 days. * Collaborate with product and engineering to share customer feedback and improve AI ...

Brex

Manager, CX AI Strategy

Salt Lake City, UT · Hybrid

Monitor the results and drive improvement when targets aren't met. * Own the CX AI roadmap from opportunity discovery through implementation - prioritize where AI can improve efficiency and customer ...

Autonomous Solutions

AI Solutions Engineer IV

Logan, UT · On-site

As an AI Solutions Engineer IV at ASI, you are responsible for setting the technical standards and ... Ability to effectively complete job responsibilities on computer monitors. * Ability to effectively ...

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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.

Associate AI Operations

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 25 days ago

Job description

Associate AI Operations

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 – $90,000 | Entry-Level / 0–2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Associate AI Operations, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • 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, including prompt tuning, automation logic, and QA checks.
  • Troubleshoot operational issues with guidance from senior team members. Dig into logs, spot failure patterns, and help resolve problems quickly.
  • Document operational procedures, build runbooks, and contribute to internal knowledge bases.
  • Share product feedback with Engineering and Product teams, including reliability trends, performance gaps, and customer pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics, Operations Research, or a related field. Self-taught candidates with relevant experience are also welcome.
  • Operationally minded. You like understanding how systems work end-to-end and figuring out how to make them run more smoothly.
  • Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how AI performs in real-world workflows.
  • A strong communicator who can translate operational findings and technical details into language that non-technical audiences understand.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.