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Ai Monitoring Jobs (NOW HIRING)

Photon

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Implement AI monitoring, observability, tracing, telemetry, and performance measurement. Also expected * Implement agent memory patterns (short-term, long-term, episodic). * Integrate agents with ...

ISACA

AI Solutions Engineer

$98K - $148K/yr

Monitor, troubleshoot, and debug agentic workflows, application integrations, and AI-generated outputs. * Evaluate changes in LLM and AI technologies and recommend modifications or enhancements to ...

CYNET SYSTEMS

Lead AI Engineer

Santa Clara, CA · On-site

$70 - $75/hr

AI Monitoring and Observability. * Enterprise AI Architecture and Strategy. Benefits Our Benefits Include: * Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account ...

ISACA

AI Solutions Engineer

Monitor, troubleshoot, and debug agentic workflows, application integrations, and AI-generated outputs. * Evaluate changes in LLM and AI technologies and recommend modifications or enhancements to ...

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Ai Monitoring information

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How much do ai monitoring jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai monitoring in the United States is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $17.55 per hour, depending on experience, location, and employer.

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.

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Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $35,147 per year, or $16.9 per hour.

Agentic AI Engineer - C2C requirements in FL

Orlando, FL • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$150 - $200/hr

Other

Posted 22 days ago

Job description

AI Principal Engineer – Agentic AI Platform

Location: Orlando, FL (Hybrid – 3 days/ week)

Contract

Rate: $70/hr on C2C

Job Description Key Responsibilities
  • Develop AI Agent Platforms supporting multi agent orchestration, workflows, and enterprise integrations
  • Build and implement AI agents and agentic workflows using Claude, Databricks Agent, Azure AI platform, and .NET frameworks (Bhoomi)
  • Develop scalable, production ready AI pipelines, including RAG, embeddings, and orchestration layers
  • Implement platform level best practices, reusable components, and engineering standards
  • Integrate AI systems with enterprise data platforms, APIs, and microservices
  • Contribute to defining AI governance, guardrails, monitoring, and observability frameworks
  • Implement security controls, including PII handling, masking, and compliance measures
  • Collaborate with architects and stakeholders to translate strategy into working AI solutions
Required Skills & Experience

Strong hands on experience in Agentic AI / AI Agent Platforms

Proficiency in:

  • Claude / Anthropic ecosystem
  • Databricks Agent / Lakehouse AI
  • Azure AI Platform
  • .NET (Bhoomi / enterprise frameworks)
  • Experience building end to end AI solutions, including production deployment
  • Expertise in RAG architectures, LLM orchestration, APIs, and microservices
  • Experience working with AI monitoring, observability, and evaluation frameworks
  • Solid understanding of AI governance, guardrails, and security practices
  • Experience implementing PII data handling mechanisms
Qualifications
  • 10–15+ years of experience in software engineering / platform engineering
  • 3–6+ years in AI / GenAI / LLM based systems
  • Experience delivering production grade AI platforms and solutions
  • Relevant AI/ML certifications preferred
Success Criteria
  • Delivered scalable AI solutions and platforms with enterprise integrations
  • Enabled reusable engineering frameworks and accelerators
  • Built secure, compliant, and production ready AI implementations
  • Improved time to market for AI use cases through engineering excellence
Skills

Mandatory Skills: AI Research, AI Solution Advisory, AI Strategy, Governance, AI/GenAI Research, AI/Generative AI

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