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Remote Ai Operations Jobs in Washington (NOW HIRING)

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Remote Ai Operations information

What is the difference between Remote Ai Operations vs Data Analyst?

AspectRemote Ai OperationsData Analyst
Required CredentialsBackground in AI, machine learning, or data science; often requires certifications in AI tools or programming languagesDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative teams focused on AI model deployment and maintenanceRemote or on-site, analyzing data sets to generate insights
Industry UsageTech companies, AI startups, research institutionsFinance, marketing, healthcare, and other sectors relying on data insights

Remote Ai Operations and Data Analysts both work with data, but Remote Ai Operations focuses on managing AI systems and models, while Data Analysts interpret data to inform business decisions. The roles share skills in data handling and analysis but differ in their focus on AI deployment versus data interpretation.

What are the most commonly searched types of Ai Operations jobs in Washington? The most popular types of Ai Operations jobs in Washington are:
What are popular job titles related to Remote Ai Operations jobs in Washington? For Remote Ai Operations jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Ai Operations jobs in Washington look for? The top searched job categories for Remote Ai Operations jobs in Washington are:
What cities in Washington are hiring for Remote Ai Operations jobs? Cities in Washington with the most Remote Ai Operations job openings:
Remote Ai Operations jobs near you
Infographic showing various Remote Ai Operations job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.
Senior Cyber AI Operations Engineer

Senior Cyber AI Operations Engineer

System One

Washington, DC • Remote

Contractor

Posted 20 days ago

Job description

Cyber Artificial Intelligence Operations Engineer 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship is required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance Long Term Multi-Year Contract W-2 or C2C Application deadline: 7/10/2026 We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities. Key Responsibilities: • Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities. • Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities. • Instrument AI systems for cybersecurity activities with observability and controllability. • Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness. • Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports. Required Qualifications: • 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices • 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems • Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash • Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex • Familiarity with open source LLM models, such Llama, Mistral • Experience in fine-tuning LLM models • Knowledge of AI design patterns • Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience Preferred Qualifications: • Hands-on experience with DevSecOps and CI/CD practices • Experience in AWS cloud architecture design and operation • Experience in Terraform, Dockers Kubernetes, and/or Gitlab • Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance. • Strong problem-solving and analytical skills • Excellent communication and documentation skills #M1 #LI-VH1 Ref: #851-Rockville-S1

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