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Ai Monitoring Jobs in Texas (NOW HIRING)

Puresoft, Inc.

Agentic AI Engineer

Plano, TX · On-site

$76K - $103K/yr

Implement testing, monitoring, and observability practices for AI systems in production. Collaborate with software engineers, architects, and product stakeholders to deliver enterprise AI solutions.

KPMG

Technical Product Manager - AI Product Operations

Dallas, TX · On-site

$165K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Treat the AI monitoring and evaluation infrastructure as an internal product; define its strategic roadmap, gather stakeholder requirements, and drive its continuous improvement * Lead the creation ...

USAA

AI Model Governance & Monitoring Lead

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will monitor and interpret emerging AI regulations, legislation, regulatory guidance, and industry standards, including state-level AI laws, and other requirements impacting the use and ...

USAA

AI Model Governance & Monitoring Lead

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will monitor and interpret emerging AI regulations, legislation, regulatory guidance, and industry standards, including state-level AI laws, and other requirements impacting the use and ...

USAA

AI Model Governance & Monitoring Lead

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will monitor and interpret emerging AI regulations, legislation, regulatory guidance, and industry standards, including state-level AI laws, and other requirements impacting the use and ...

gardaworld

Security Operations Lead

Richardson, TX · On-site

$26/hr

... AI monitoring capabilities, lead daily operations within the Garda Security Operations Center (SOC), ensuring the continuous monitoring and protection of transportation logistics across the United ...

gardaworld

Security Operations Lead

Richardson, TX

$26/hr

... AI monitoring capabilities, lead daily operations within the Garda Security Operations Center (SOC), ensuring the continuous monitoring and protection of transportation logistics across the United ...

gardaworld

Security Operations Lead

Richardson, TX

$26/hr

... AI monitoring capabilities, lead daily operations within the Garda Security Operations Center (SOC), ensuring the continuous monitoring and protection of transportation logistics across the United ...

GardaWorld

Security Operations Lead

Richardson, TX · On-site

$26/hr

... AI monitoring capabilities, lead daily operations within the Garda Security Operations Center (SOC), ensuring the continuous monitoring and protection of transportation logistics across the United ...

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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 Texas?

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

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

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

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Technical Product Manager - AI Product Operations

KPMG US

Dallas, TX • On-site

$165K - $191K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services, known for its commitment to individual development and an inclusive environment. They are seeking a Technical Product Manager for AI Product Operations to manage a team and treat AI monitoring as an internal product, focusing on continuous improvement and stakeholder collaboration.
Responsibilities:
• Act as a "player-coach" managing a team of specialists, while treating the AI monitoring and evaluation infrastructure as an internal product with a defined strategic roadmap
• Treat the AI monitoring and evaluation infrastructure as an internal product; define its strategic roadmap, gather stakeholder requirements, and drive its continuous improvement
• Lead the creation of real-time dashboards to interpret evaluation results, building complex monitors to capture agent traces, human-in-the-loop decisions, and user feedback
• Drive root-cause analysis and cross-functional remediation for AI system issues (including documenting post-mortems), while creating scalable runbooks (SOPs) to streamline deployments
• Partner with product managers and engineering leaders to design and implement evaluators directly into the product lifecycle, leading training efforts on how to accurately interpret and use the results
• Collaborate closely with audit methodology specialists, risk, and compliance teams to ensure all AI evaluation flows, metrics, and guardrails actively support firm audit quality standards
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum eight years of recent overall professional experience in Technical Product Management, Product Operations, or Data Science, including a proven track record of building and managing high-performing teams
• Minimum of a Bachelor's degree from an accredited or university is required
• Strong technical background with a distinct product management mindset; you don't need to write production code, but you must deeply understand ML/AI concepts to design sophisticated evaluation products
• Extensive knowledge of Generative AI/LLMs, prompt engineering, and GenAI evaluation techniques (for example, automated scoring, human-in-the-loop review, hallucination detection)
• Demonstrated ability to conceptualize scalable measurement frameworks, define critical KPIs, and design structured workflows out of complex, unstructured AI outputs
• Exceptional written and verbal communication skills, with a proven ability to translate highly technical AI performance metrics into clear business narratives for executive stakeholders
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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