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Ai Monitoring Jobs in Arizona (NOW HIRING)

ServiceNow Deployment- Senior Associate

Phoenix, AZ

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Monitoring & observability * Risk controls & governance * Design and implement model lifecycle ... AI-First PDLC Transformation * Define architecture, tooling, and standards for an AI-native ...

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Experience with AI pipelines, model deployment, monitoring, and lifecycle management . * Ability to evaluate and apply AI tools and frameworks across the application development lifecycle. * Strong ...

AI Security Engineer

Phoenix, AZ · On-site

$134 - $171/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Work with EMCOR Security Operations to define and implement logging and monitoring requirements, create detection use cases, and playbooks for AI related incidents * Assist with AI vendor and cloud ...

... monitoring, evaluation, security, and performance optimization. · Deploy AI applications using AWS, Azure, or Google Cloud. · Use Docker, Kubernetes, CI/CD, and MLOps practices for production ...

Support model lifecycle activities: experimentation, evaluation, versioning, deployment, monitoring, and documentation * Contribute to cloud-native ML pipelines and AI application deployment using ...

AI Engineer III

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 ...

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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.

ServiceNow Deployment- Senior Associate

Pwc

Phoenix, AZ

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime.
Those in cloud operations at PwC will focus on managing and optimising cloud infrastructure and services to enable seamless operations and high availability for clients. You will be responsible for monitoring, troubleshooting, and implementing industry leading practices for cloud-based systems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Basic Qualifications:
Minimum Degree Required:
Bachelor DegreePreferred Qualifications:
Degree Preferred:
Master DegreeCertification(s) Preferred:
ITIL 4
COBIT
ISO 27001
ServiceNow Certification(s)
BMC Helix Certification(s)
Flexera Certification(s)
Jira Service Management (JSM)
Certification(s) from a leading cloud service provider (AWS, Azure, GCP)
FinOps Certified Practitioner
Preferred Knowledge/Skills:
Demonstrates extensive-level abilities and success with managing the identification and addressing of client needs. As a Manager, you have extensive level abilities understanding at least one of the following areas:
ServiceNow or similar tool's IT Service Management modules and how they are implemented across different operating models (ITIL);
DevSecOps transformations;
Cloud platforms (AWS, Azure, Google Cloud Platform) and their key technologies, including: Observability, AIOps, APM;
Industry leading discovery technologies (SCCM, Tanium, Armis, Intune) and how they integrate with ServiceNow;
Developing and re-engineering IT processes, capabilities, and controls in a proven and efficient way;
Implement and mature governance frameworks, including operating models for skills and people to support operations on premise and in the cloud as well as reporting capabilities; and,
IT Financial Management
- cost asset management and optimization.
Demonstrates extensive abilities and/or a proven record of success in the following areas:
Bringing together the right perspectives, identify roadblocks, and integrate feedback from clients and team members;
Managing delivery from project scoping to conclusion, while consistently keeping the client's goals in mind;
Having a passion for developing and growing team members;
Communicating complex information simply;
Finding yourself in the role of advisor and peer to others;
Approaching new projects with an open mind;
Believing empathy for coworkers and customers is key to your success;
Valuing learning from mistakes and ask for help when needed;
Persevering through challenges;
Believing in the value created by diverse teams and can adapt to a variety of working styles; and,
Developing thought leadership materials to further your knowledge and create new relationships.
Demonstrates extensive abilities and/or a proven record of success in the following areas:
ServiceNow/BMC Helix/Jira Service Management (implementations, transformations, etc.);
IT Service Management, ITIL 4, COBIT;
IT Asset Management / IT Cloud Financial Management;
Cloud Platforms (Amazon Web Services (AWS), Azure, GCP);
DevSecOps Transformation;
Cloud Discovery, including tagging integration and federated configuration;
Cloud Application Performance Monitoring (APM);
Cloud auto-scaling, ELB;
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 will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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