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Ai Monitoring Jobs in Virginia (NOW HIRING)

As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.

Monitor AI prompts, responses, and related activity for sensitive content exposure, and apply approved policy actions (allow, block, alert, redact, route) under established governance rules.

Monitor AI prompts, responses, and related activity for sensitive content exposure, and apply approved policy actions (allow, block, alert, redact, route) under established governance rules.

AI Monitoring: Monitor AI prompts, responses, and related activity for sensitive content exposure, and apply approved policy actions (allow, block, alert, redact, route) under established governance ...

Monitor AI prompts, responses, and related activity for sensitive content exposure, and apply approved policy actions (allow, block, alert, redact, route) under established governance rules.

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 ...

Job Title: - Senior AI Agent Engineer Location: - McLean, VA - 5 days onsite Employment Type ... Monitor, evaluate, and refine agentic workflows to improve code quality, reduce toil, and ...

... monitoring tools. • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows. • Experience designing and integrating REST APIs and scalable ...

Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. * Experience with vector databases, AWS/cloud environments, Docker ...

Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. * Experience with vector databases, AWS/cloud environments, Docker ...

AI/ML Engineer II

Mclean, VA · On-site

$120 - $160/hr

Support deployment, monitoring, and versioning of ML models as part of a disciplined MLOps ... AI is an Equal Opportunity / Aff #J-18808-Ljbffr

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Position Summary We are seeking an AI Engineer to support model transformation initiatives focused ... This role will contribute to Model Performance Monitoring, MLOps enablement, reporting automation ...

AI/ML Engineer

Arlington, VA · On-site

$120 - $180/hr

You will design, build, and maintain production AI/ML services and infrastructure that enable teams to develop, deploy, monitor, and scale models supporting complex defense missions. Working with ...

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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 Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Product Manager (AI x Web3 Security)

Hyphen Connect Limited

On-site

Full-time

Re-posted 9 days ago


Job description

Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.

Responsibilities:

  • Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
  • Collaborate with cross-functional teams to align product strategies with business objectives.
  • Analyze market trends and customer feedback to continuously enhance product offerings.
  • Ensure timely delivery of product features and improvements.
  • Communicate effectively with stakeholders to maintain transparency and align expectations.

Required Skills:

  • Proven experience as a Product Manager in cybersecurity or AI domains.
  • 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
  • Strong understanding of blockchain technology and data.
  • Excellent analytical and problem-solving skills.
  • Ability to manage multiple projects and meet deadlines.
  • Exceptional communication and interpersonal skills.