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Artificial Intelligence Operator Jobs in Washington

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Artificial Intelligence Operator information

What is an artificial intelligence operator?

An Artificial Intelligence Operator is a professional responsible for managing, monitoring, and maintaining AI systems and applications. They ensure that AI models perform as expected, troubleshoot issues, and optimize the deployment of AI solutions in various environments. Their role often involves working with data scientists, software engineers, and IT specialists to oversee the lifecycle of AI technologies, including updates, scaling, and compliance. Artificial Intelligence Operators play a crucial role in bridging the gap between AI development and practical, reliable operation in real-world settings.

What are the key skills and qualifications needed to thrive as an artificial intelligence operator?

To thrive as an Artificial Intelligence Operator, you need a solid understanding of computer science fundamentals, data analysis, and AI concepts, typically supported by a relevant degree or technical training. Familiarity with AI platforms, machine learning frameworks (such as TensorFlow or PyTorch), and data management systems is essential, along with certifications in AI or cloud technologies being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help operators adapt to rapidly changing technologies and collaborate with diverse teams. These skills ensure effective deployment, monitoring, and optimization of AI systems, enabling organizations to leverage AI solutions reliably and ethically.

What are some common challenges faced by artificial intelligence operators when maintaining AI systems in a production environment?

Artificial Intelligence Operators often encounter challenges such as monitoring model performance, detecting data drift, and responding to unexpected system behaviors in real time. They must balance ensuring system uptime with the need to troubleshoot and optimize models as data and business needs evolve. Collaboration with data scientists, engineers, and IT staff is essential to quickly resolve incidents and implement updates or patches. Staying current with best practices in model deployment and ethical AI use also presents an ongoing learning curve.

What is the difference between Artificial Intelligence Operator vs Data Analyst?

AspectArtificial Intelligence OperatorData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or data science; often a degree in computer science or related fieldDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, or data-driven organizations; working with AI models and algorithmsBusiness environments, research firms, or consulting; analyzing datasets and generating reports
Employer & Industry UsagePrimarily in AI and tech industries, focusing on AI system operation and maintenanceAcross various industries including finance, marketing, healthcare, focusing on data interpretation

While both roles involve working with data, Artificial Intelligence Operators focus on managing and maintaining AI systems, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills but differ in their primary focus and tools used.

What cities in Washington are hiring for Artificial Intelligence Operator jobs?

Cities in Washington with the most Artificial Intelligence Operator job openings:

Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch

Annapolis Junction, MD

$55.28 - $72.11/hr

Full-time

Re-posted 11 days ago


Job description

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can’t wait.


You Have: 

  • 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
  • Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
  • Familiarity with standard data science libraries and development tools
  • Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
  • Ability to collaborate within a team and communicate technical concepts clearly
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience

Nice If You Have: 

  • Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
  • Experience with version control tools such as Git and collaborative development environments
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow
  • Knowledge of large language models (LLMs) and generative AI concepts
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization technologies such as Docker or Kubernetes
  • Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
  • Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required. 

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55.28 to $72.11 per hour.  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch’s total compensation package for employees.


US-MD-Annapolis Junction
AI/ML, LLM, API, Python