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Ai Monitoring Jobs in Washington (NOW HIRING)

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

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

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

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

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

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

Torch.AI

AI/ML Engineer II

Mclean, VA · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

New

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

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 ...

Doist

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 ...

New

TechTrend

AI Engineer

Reston, VA · On-site

$120 - $160/hr

  • Life

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Credence

Senior Grants & Monitoring Manager

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard ... The Senior Grants & Monitoring Manager oversees grants administration, monitoring and evaluation ...

Credence

Senior Grants & Monitoring Manager

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard ... The Senior Grants & Monitoring Manager oversees grants administration, monitoring and evaluation ...

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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 Washington?

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

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

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

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 8% Part Time, 2% Temporary, and 8% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

AI/ML Engineer - TS/SCI w/Polygraph

Finch AI

Mclean, VA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Finch AI is a fast-growing software development organization focused on innovative ways to interact with information. They are seeking an AI/ML Engineer to implement advanced AI/ML solutions, maintain data pipelines, and integrate machine learning models into applications.
Responsibilities:
• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
• Integrate LLMs into applications using available APIs and frameworks.
• Develop and maintain REST API interactions to support data retrieval and system integration.
• Design or refine Postgres schemas to improve data organization and query performance.
Qualifications:
Required:
• Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
• Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
• Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
• Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
• Active/current TS/SCI with required polygraph (US citizenship required)
• Willingness to work onsite full time.
• 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
Preferred:
• Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
• Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
• Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
• Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
• Experience designing and integrating REST APIs and scalable data architectures.
Company:
At Finch AI, we think like analysts. So we build tools that accelerate their workflows, that never get tired, and that dramatically improve outcomes. Founded in 2014, the company is headquartered in Herndon, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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