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Ai Monitoring Jobs in Utah (NOW HIRING)

AI Monitoring: Experience designing or implementing monitoring for AI systems, including model performance, drift detection, prompt and response logging, abuse detection, and operational security ...

AI Monitoring: Experience designing or implementing monitoring for AI systems, including model performance, drift detection, prompt and response logging, abuse detection, and operational security ...

AI Monitoring: Experience designing or implementing monitoring for AI systems, including model performance, drift detection, prompt and response logging, abuse detection, and operational security ...

Implement, monitor, and improve model training processes, including domain-specific custom training * Advise on and adopt new AI frameworks and best practices to enhance the organization's AI ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Implement, monitor, and improve model training processes, including domain-specific custom training * Advise on and adopt new AI frameworks and best practices to enhance the organization's AI ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Instrument and monitor agentic systems in production using observability tooling; iterate rapidly ... Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure.

AI Specialist

Salt Lake City, UT · On-site

$90 - $130/hr

Oversee data readiness, model deployment, and performance monitoring * Continuously optimize models ... Educate stakeholders on AI capabilities, limitations, and secure usage practices * Develop training ...

New

Lead AI Compliance Testing

Draper, UT · Hybrid

$146K/yr

The role will integrate deep consumer compliance expertise with strong IT and AI risk acumen to ensure AI capabilities are designed, governed, and monitored in alignment with the Compliance ...

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure.

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Taxbit's AI-enabled platform streamlines compliance related to digital assets, payments, and other ... Instrument and monitor agentic systems in production using observability tooling; iterate rapidly ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure.

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Taxbit's AI-enabled platform streamlines compliance related to digital assets, payments, and other ... Instrument and monitor agentic systems in production using observability tooling; iterate rapidly ...

Google AI Lead Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

Google AI Lead Architect/AI & Engineering: Join our AI & Engineering team in transforming ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

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Showing results 1-20

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.

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.

Corporate Security Engineer

Taxbit

Salt Lake City, UT • On-site

$98K - $147K/yr

Full-time

Re-posted 24 days ago


Job description

Opportunity for Impact

The Corporate Security Engineer is a critical member of Taxbit's growing Security organization. This role owns the design, deployment, and lifecycle management of Taxbit's corporate IT and security infrastructure-with a focused emphasis on identity management via Okta, endpoint management via Jamf and Intune, and productivity administration via Google Workspace.

You will work cross-functionally with the Security Operations and Infrastructure teams to ensure Taxbit's corporate environment is hardened, auditable, and scalable. This role is both hands-on technical and strategically oriented-you will be expected to build programs, not just maintain systems.

Role and Responsibilities
  • Administer and mature Taxbit's Okta Workforce Identity platform, including SSO integrations, lifecycle management, MFA policy enforcement, and directory provisioning/deprovisioning
  • Own the Unified Endpoint Management (UEM) program using Jamf (macOS/iOS) and Microsoft Intune (Windows), including device enrollment, configuration profiles, compliance policies, and patch management
  • Administer Google Workspace at the organizational level, including user management, group policies, Drive security controls, Meet hardware, and audit log review
  • Collaborate with the Infrastructure and Security Opereations teams to troubleshoot and resolve on-premise and cloud network issues affecting corporate users
  • Implement and enforce security baselines across endpoints, ensuring alignment with Taxbit's security policies and compliance frameworks including ISO 27001, SOC 2, and NIST CSF
  • Manage the full lifecycle of Taxbit's IT asset inventory, including procurement, configuration, deployment, and decommission
  • Deliver IT and security onboarding training to new team members; maintain documentation for runbooks, procedures, and configurations
  • Gather and organize control evidence to support ISO 27001, SOC 2, and NIST CSF audits for the Risk and Compliance team, and support digital forensics requests from Security Operations
  • Track, prioritize, and resolve service tickets with a high degree of ownership and follow-through; identify recurring issues and implement systemic fixes
  • Assist with broader Security program initiatives as the team scales
Professional Qualifications
  • Bachelor's Degree in a technical field (Computer Science, Information Systems, Cybersecurity, or related field)
  • AI Governance: Experience implementing AI governance controls, including model lifecycle management, AI risk assessments, and alignment with frameworks such as ISO 42001 and the NIST AI Risk Management Framework.
  • AI Operations: Familiarity with AI Operations (AIOps/MLOps), including securing AI/ML pipelines, model deployment, and Infrastructure-as-Code for AI workloads.
  • Proven track record of identifying opportunities to build, test, and scale AI-powered solutions.
  • AI Monitoring: Experience designing or implementing monitoring for AI systems, including model performance, drift detection, prompt and response logging, abuse detection, and operational security monitoring.
  • Proven track record of identifying opportunities to build, test, and scale AI-powered solutions.
  • Sees AI as a force multiplier and actively looks for ways to enhance team performance through innovation & curiosity.
  • 4+ years of experience in systems administration and security operations, or a related technical role
  • Hands-on experience administering Okta Workforce Identity, including SSO, MFA, and lifecycle management
  • Proficiency managing Apple (macOS/iOS) devices via Jamf Pro or Jamf Business Plan
  • Experience with Microsoft Intune for Windows endpoint management, compliance policy, and Conditional Access
  • Strong working knowledge of Google Workspace administration (Admin Console, Groups, Vault, Meet hardware)
  • Experience managing the full lifecycle of IT assets, including imaging, deployment, and decommission
  • Working knowledge of SIEM/log management tools for endpoint telemetry and security event monitoring
  • Familiarity with security frameworks including ISO 27001, SOC 2 trust service criteria, and NIST CSF
  • Experience gathering audit evidence and working with Risk & Compliance teams
  • Scripting skills (e.g., Bash, Python, or PowerShell) to automate endpoint and identity workflows
  • Experience configuring and maintaining remote meeting hardware and conference room AV systems

The base salary range for this role is $98,000 - $147,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.