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Ai Monitoring Jobs in Arizona (NOW HIRING)

Maintains AI Acceptable Use Policy templates, runs DNS-layer shadow AI monitoring, manages Data Processing Agreements and BAA inventories, and packages quarterly evidence for client audit and ...

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

AI Engineer

Globe, AZ · On-site

$92K - $126K/yr

Monitoring & Maintenance: Continuously monitor performance of deployed AI models and refine as we see fit. * Collaboration: Work closely with cross-functional teams to translate business requirements ...

Drive AI-enabled monitoring, quality assessment, and governance capabilities through automation and advanced analytics to improve operational efficiency and consistency * Own end-to-end technical ...

AI Engineer III - Agentic AI

Phoenix, AZ · On-site

$103K - $174K/yr

Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. * Collaborate closely with product and design partners, learning to ...

Sr. AI Security Engineer

Phoenix, AZ · On-site

$104K - $143K/yr

Monitor emerging AI threats, vulnerabilities, standards, regulations, and industry practices and translate them into actionable improvements. * Partner with development and platform teams to ...

AI Architect

Phoenix, AZ · On-site

$60 - $68/hr

Understanding of AI pipelines, model deployment, and monitoring * Ability to evaluate and apply AI tools in application development lifecycle Technical Leadership * Collaborate with product, data ...

AI Cloud Engineer

Globe, AZ · On-site

$53 - $70.75/hr

Performance Monitoring & Optimization * Implement robust monitoring and alerting solutions (CloudWatch, Stackdriver, Prometheus, Grafana) for AI workloads and cloud infrastructure. * Proactively ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

Monitor improvements in areas such as customer experience, productivity, revenue, cost, and operational efficiency. * Provide regular updates on AI portfolio progress and business impact. * Identify ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

Monitor, troubleshoot, and optimize model performance and system reliability. Automate workflows ... AI Platform, BigQuery ML) or AWS ML services (SageMaker etc). 5 years Experience with ...

AI Engineer II

Phoenix, AZ · On-site

$125 - $150/hr

Participate in MLOps and PromptOps processes, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems. * Collaborate with business and technical ...

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Participate in MLOps and PromptOps processes, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems. * Collaborate with business and technical ...

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

Participate in MLOps and PromptOps processes, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems. * Collaborate with business and technical ...

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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.

Infographic showing various Ai Monitoring job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 2% Temporary, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI Governance & Risk Analyst

Tucson, AZ • On-site

Unió Digital
1 - 10 employees

$100 - $125/hr

Other

Posted 7 days ago


Job description

# AI Governance & Risk AnalystOperates the Managed AI program for our clients on a recurring cadence. Maintains AI Acceptable Use Policy templates, runs DNS-layer shadow AI monitoring, manages Data Processing Agreements and BAA inventories, and packages quarterly evidence for client audit and insurance review.Full-TimeTucson, AZ or RemoteMid-SeniorApply for this RoleView All Roles## Location & TravelHiring locations: * Tucson, AZ * RemoteTravel requirement: No regular travel required.International travel: Not required.## About this roleThe AI Governance & Risk Analyst operates the Managed AI program for our clients on a recurring cadence. You'll own AI policy maintenance, vendor risk monitoring, DPA management, and quarterly evidence packaging. Primary point of contact for AI-specific incident response.## What you'll do* Maintain AI Acceptable Use Policy templates with vertical addenda (construction, mining, healthcare)* Run DNS-layer shadow AI monitoring and produce the monthly AI Usage Report* Manage Data Processing Agreements and BAA inventories with AI vendors* Package quarterly evidence for client audit and insurance review* Primary point of contact for AI-specific incident response## What we're looking for* 3+ years in IT governance, security GRC, or comparable risk-analysis role* Strong written communication and policy-drafting discipline* Familiarity with regulatory frameworks (HIPAA, SOC 2, NIST CSF, NIST AI RMF, ISO 42001)* Comfortable with technical security data (DNS logs, M365 audit, SIEM extracts)* Eligible to work in the U.S.You'll always hear from usEvery applicant gets a status update within 5 business days. See our 4-stage hiring process on the careers page.## Ready to apply?Submit your resume and a few details. We review every application personally. #J-18808-Ljbffr