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Ai Monitoring Jobs (NOW HIRING)

S R INTERNATIONAL INC

Lead AI Engineer

Columbus, OH · Remote

$104K - $138K/yr

Google CCAI Services * 2+ years of experience building Enterprise Looker Dashboards for AI agent monitoring * 2+ years of experience with AWS AI services: * AWS Bedrock * AWS Transcribe * AWS ...

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.

Tech Mahindra

$130 - $150/hr

AI monitoring and operating model Required Experience & Skills * 8+ years in AI/ML architecture, including enterprise generative and agentic patterns. Good to Have * Strong data architecture ...

New

Tech Mahindra

AI Architect Lead

Rochester, MN · On-site

$130 - $150/hr

AI monitoring and operating model Required Experience & Skills * 8+ years in AI/ML architecture, including enterprise generative and agentic patterns. Good to Have * Strong data architecture ...

New

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 ...

Stellent IT LLC

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 ...

New

Galent

AI Full Stack Developer

Santa Clara, CA · On-site

Familiarity with AI evaluation frameworks and production AI monitoring. * Experience developing enterprise-scale SaaS applications. * Exposure to agentic AI platforms and workflow automation.

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Ai Monitoring information

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How much do ai monitoring jobs pay per hour?

As of Aug 19, 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.

More about Ai Monitoring jobs

What states have the most Ai Monitoring jobs?

States with the most job openings for Ai Monitoring jobs include:

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

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Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $35,147 per year, or $16.9 per hour.

Agentic AI Engineer

Gyansys

Santa Clara, CA • On-site

$119K - $157K/yr

Other

Posted 6 days ago

Job description

GyanSys is looking for AI Engineer and Lead AI Engineer profiles. Please share your best matching candidates along with their resume, rate, earliest DOJ, and interview availability at the earliest.

 

Title: Lead Agentic AI Engineer

Location: Santa Clara, CA

Job Type: Work From Office

Agentic AI Engineer/ Lead AI Engineer to architect, lead, and deliver production-grade Agentic AI solutions for enterprise use. The individual will drive solution design, guide development teams, build multi-agent AI systems, and ensure scalable, secure, and reliable deployment in production environments.

Scope of Work

  • Lead architecture and solution design for Agentic AI applications.
  • Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
  • Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
  • Guide engineering teams and establish development best practices.
  • Develop enterprise integrations, APIs, and event-driven AI services.
  • Drive deployment, operationalization, and scalability of AI applications.
  • Coordinate with platform, security, data, and product teams to ensure successful delivery.
  • Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.

Must-Have Skills

  • 5+ years of experience in AI/ML.
  • 1+ years of experience building Agentic AI solutions.
  • Strong expertise in Python and modern software engineering practices.
  • Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
  • Experience architecting and deploying enterprise AI applications.
  • Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
  • Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
  • Proven ability to lead technical initiatives and drive solution delivery.
  • Excellent communication, stakeholder management, and problem-solving skills.
  • Experience with enterprise data integration and AI application deployment.

Good-to-Have Skills

  • Databricks
  • MLOps / LLMOps
  • Enterprise AI Governance and Security
  • AI Monitoring and Observability
  • Enterprise AI Architecture and Strategy

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