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Ai Monitoring Jobs in Virginia (NOW HIRING)

TechTrend

AI Engineer

Reston, VA · On-site

$120 - $160/hr

Architect and implement end‑to‑end AI pipelines including data ingestion, model training, deployment, monitoring, and continuous improvement using GCP native services. * Develop ...

New

540

AI/ML Engineer

Arlington, VA · On-site

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 ...

540

AI/ML Engineer

Arlington, VA

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 ...

540

AI/ML Engineer

Arlington, VA

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 ...

SimpliSafe

Manager, Monitoring Compliance

Richmond, VA · On-site

Proactively identify and evaluate opportunities to apply AI-enabled workflows and automation to ... Partner cross-functionally with Monitoring Operations, Vendor Management, People, and other teams ...

SimpliSafe

Manager, Monitoring Compliance

Richmond, VA · On-site

Proactively identify and evaluate opportunities to apply AI-enabled workflows and automation to ... Partner cross-functionally with Monitoring Operations, Vendor Management, People, and other teams ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Operate large-scale vectorization with quality gates and drift monitoring. * Use Azure Data Factory ... Build Agentic AI Solutions * Design secure tool-calling and multi-agent orchestration using ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Operate large-scale vectorization with quality gates and drift monitoring. * Use Azure Data Factory ... Build Agentic AI Solutions * Design secure tool-calling and multi-agent orchestration using ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Strong understanding of MLOps practices and production model monitoring.

Wisetek Providers INC

AI Engineer

Merrifield, VA · On-site

$110 - $160/hr

Operate large-scale vectorization with quality gates and drift monitoring. * Use Azure Data Factory ... Build Agentic AI Solutions * Design secure tool-calling and multi-agent orchestration using ...

New

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Establish model monitoring, performance tracking, drift detection, explainability, and governance ... Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost ...

540

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Establish model monitoring, performance tracking, drift detection, explainability, and governance ... Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · On-site

... environmental monitoring, workload management, and resilient mission execution across hybrid ... with AI/ML capabilities applied to policy controlled, workload management and orchestration ...

540

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Establish model monitoring, performance tracking, drift detection, explainability, and governance ... Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost ...

Doist

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

Establish model monitoring, performance tracking, drift detection, explainability, and governance ... Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost ...

Deloitte

Google AI Architect

Mclean, VA · On-site

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 ...

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Showing results 21-40

All JobsAi Monitoring JobsAi Monitoring Jobs in Virginia

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 Virginia?

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

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

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

Ai Monitoring jobs near you
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.

Senior AI Engineer/GenAI /Agentic AI Engineer

SGS Consulting

Reston, VA • On-site

$108K - $149K/yr

Other

Posted 8 days ago

Job description

Job Title:         

Senior Senior AI Engineer /GenAI Engineer /Agentic AI Engineer/

AI/ML Engineer

 Duration:        

12 Months (High Possibility of Extension)

Location:    

Reston, VA 20190

 

Job Description

We are seeking a Senior Agentic AI Engineer to design, develop, and deploy production-grade Generative AI, RAG, and multi-agent solutions on Microsoft Azure. The role requires strong software engineering expertise across React, TypeScript, Node.js, LLMOps, and enterprise AI integrations.

Job Responsibilities

  • Design and develop enterprise-grade Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications.
  • Build advanced RAG pipelines using Azure AI Search, embeddings, vector/hybrid search, chunking, metadata filtering, reranking, grounding, and citations.
  • Design and implement single-agent and multi-agent workflows using Microsoft Agent Framework, Azure AI Foundry, Semantic Kernel, LangGraph, AutoGen, or comparable frameworks.
  • Develop autonomous and human-in-the-loop agents capable of planning, reasoning, tool calling, and interaction with enterprise systems.
  • Build secure integrations with REST APIs, databases, enterprise applications, and event-driven services.
  • Develop user-facing AI applications using React and TypeScript, with supporting backend services using Node.js or comparable technologies.
  • Establish agent evaluation frameworks covering groundedness, relevance, citation quality, safety, regression testing, and overall response quality.
  • Implement observability using OpenTelemetry, Application Insights, or similar platforms to monitor traces, tool calls, latency, token usage, errors, and operational metrics.
  • Build scalable, secure, containerized AI solutions with Docker, Kubernetes, CI/CD pipelines, health checks, and production monitoring.

Basic Qualifications

  • Bachelor's degree or international equivalent with 8+ years of relevant software engineering experience.
  • 2–3 years of hands-on experience developing Generative AI, LLM, RAG, or Agentic AI solutions.
  • Strong experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector/hybrid search, and enterprise AI applications.
  • Strong software engineering experience with React, TypeScript, Node.js or comparable backend frameworks, REST APIs, SQL, Docker, Kubernetes, and CI/CD.

Additional Information

  • Location: Reston, VA.
  • Experience with enterprise security, identity and access management, authorization, data privacy, compliance, and production AI operations is highly valued.
  • Strong analytical, problem-solving, communication, collaboration, and stakeholder-management skills are required.

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