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Entry Level Artificial Intelligence Engineer Jobs in Washington

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

Description This entry-level position will offer you the opportunity to utilize and expand your ... Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

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Entry Level Artificial Intelligence Engineer information

See Washington salary details

$34K

$78.6K

$133.6K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level artificial intelligence engineer in Washington is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Washington? The most popular types of Artificial Intelligence Engineer jobs in Washington are:
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What cities in Washington are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities in Washington with the most Entry Level Artificial Intelligence Engineer job openings:
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Washington as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.

Artificial Intelligence Cybersecurity Engineer with Security Clearance

Sev1Tech

Arlington, VA • On-site

Other

Re-posted 12 days ago


Job description

We are seeking a skilled Artificial Intelligence Cybersecurity Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production.  Sev1Tech is seeking an AI Integration Engineer to integrate AI models into production systems, ensuring robust performance, real-time monitoring, and secure operations. The AI Integration Engineer will bridge the gap between AI model development and production systems, integrating models into applications, APIs, and infrastructure. This role focuses on building dashboards for real-time and historical model health, detecting data drift, and managing AI logging, while ensuring secure-by-design practices and alignment with business objectives.  Key Responsibilities  Model Integration: Integrate AI/ML models into applications (e.g., web, mobile, IoT) using APIs (REST, gRPC) and platforms like TensorFlow Serving or AWS SageMaker. 
Dashboard Development: Create real-time and historical dashboards using Grafana, Kibana, or Plotly to monitor model health (e.g., latency, accuracy) and data drift. 
Drift and Health Monitoring: Implement monitoring pipelines with tools like Evidently AI or Weights & Biases to detect data drift and model degradation, triggering alerts as needed. 
Logging and Tracing: Set up logging systems with ELK Stack, OpenTelemetry, or LangSmith to capture AI events, errors, and traces for debugging and auditing. 
Security Implementation: Apply secure-by-design principles to protect models and data from vulnerabilities (e.g., adversarial attacks, data leakage) using tools like Adversarial Robustness Toolbox (ART). 
System Optimization: Optimize model inference for performance (e.g., via quantization, edge deployment) and ensure compatibility with cloud (AWS, Azure) or on-premises infrastructure. 
Collaboration: Partner with data scientists to understand model requirements, DevOps for infrastructure alignment, and stakeholders for reporting needs. 
Testing and Validation: Perform end-to-end testing of AI integrations, including stress testing and validation of dashboard metrics. 
Compliance: Ensure integrations comply with regulations like GDPR, HIPAA, or NIST AI RMF for secure data handling. 
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. 
Experience: 
4+ years in software engineering or AI integration, with experience deploying AI models in production. 
Hands-on experience with dashboarding tools (e.g., Grafana, Kibana) and observability platforms (e.g., Prometheus, Datadog). 
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment. 
Technical Skills: 
Proficiency in Python; knowledge of JavaScript, C++, or Go is a plus for UI or system-level integration. 
Experience with containerization (Docker, Kubernetes) and API development (REST, GraphQL). 
Expertise in logging frameworks (e.g., ELK Stack, OpenTelemetry) and visualization tools (e.g., Plotly, Chart.js). 
AI-Specific Skills: 
Understanding of AI model metrics (e.g., F1 score, latency) and drift detection techniques (e.g., PSI, KS test). 
Knowledge of AI vulnerabilities (e.g., prompt injection, model inversion) and mitigation strategies (e.g., differential privacy, ART). 
Soft Skills: 
Strong problem-solving skills for debugging integration issues and optimizing dashboards. 
Excellent communication to translate technical metrics into business insights. 
Collaboration skills to work across data science, DevOps, and product teams. ]
*Must be eligible to obtain a Department of Homeland Security EOD clearance (Requirements 1. US Citizenship, 2. Favorable Background Investigation) 
Desired Qualifications
Experience with LLM-specific tools like LangSmith or Helicone for monitoring generative AI applications. 
Familiarity with compliance frameworks (e.g., NIST AI RMF, OWASP AI Security Top 10). 
Engagement with AI/ML communities, such as X platform discussions on #AISecurity or #MLOps.  Welcome to Sev1Tech! Founded in 2010, we are proud to be a leading provider of IT modernization, engineering, and program management solutions. Our commitment is to deliver exceptional program and IT support services that empower critical missions for both Federal and Commercial clients.
At Sev1Tech, our mission is clear: Build better companies. Enable better government. Protect our nation. Build better humans across the country. We believe that through innovation and dedication, we can make a significant impact on the communities we serve.
Join the Sev1Tech family, where your potential for greatness is limitless! Here, you will not only achieve remarkable accomplishments but also enjoy a fulfilling and rewarding career progression. We invite you to explore opportunities with us and become part of a team that values your contributions and growth.
Ready to take the next step? Apply directly through our website: Sev1Tech Careers and use the hashtag #joinSev1Tech to connect with us on social media! For any additional questions or to submit referrals, feel free to reach out to .