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Ai Integration Engineer Jobs in Washington (NOW HIRING)

System One

Palantir Integration Engineer

Mclean, VA · Remote

$106K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Palantir Integration Engineer Clearance: Must be able to obtain a US Public Trust Clearance ... Support development of AI-enabled capabilities (e.g., semantic search, entity resolution, analytics ...

GDIT

Software Integration Engineer

Annapolis Junction, MD

$170K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Yes SOFTWARE INTEGRATION ENGINEER IV Transform technology into opportunity as a Software ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

Leidos

System Integration Engineer

Gaithersburg, MD · On-site

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

Develop automated tools, scripts, and AI-assisted solutions that improve testing efficiency, reduce ... Partner with Systems Engineering to develop integration and test strategies for new capabilities ...

Leidos

Systems Integration Engineer

Gaithersburg, MD · On-site

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

Develop automated tools, scripts, and AI-assisted solutions that improve testing efficiency, reduce ... Partner with Systems Engineering to develop integration and test strategies for new capabilities ...

Leidos

Systems Integration Engineer

Gaithersburg, MD · Hybrid

$180K/yr

Develop automated tools, scripts, and AI-assisted solutions that improve testing efficiency, reduce ... Partner with Systems Engineering to develop integration and test strategies for new capabilities ...

Leidos

System Integration Engineer

Gaithersburg, MD · On-site

$180K/yr

Develop automated tools, scripts, and AI-assisted solutions that improve testing efficiency, reduce ... Partner with Systems Engineering to develop integration and test strategies for new capabilities ...

Leidos

Systems Integration Engineer

Gaithersburg, MD · On-site

$180K/yr

Develop automated tools, scripts, and AI-assisted solutions that improve testing efficiency, reduce ... Partner with Systems Engineering to develop integration and test strategies for new capabilities ...

Leidos

System Integration Engineer

Gaithersburg, MD · Hybrid

$180K/yr

Develop automated tools, scripts, and AI-assisted solutions that improve testing efficiency, reduce ... Partner with Systems Engineering to develop integration and test strategies for new capabilities ...

Leidos

Senior Systems Integration Engineer

Gaithersburg, MD · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

Establish AI-assisted and model-based testing methods to improve test coverage, accelerate testing, and identify defects earlier. * Partner with Systems Engineering to develop integration and test ...

Leidos

Systems Integration Engineer

Gaithersburg, MD · On-site

$180K/yr

... • Use AI-assisted development tools to accelerate testing, automation of scripts, and test ... integration, requirements engineering, operational and decision analysis, systems definition ...

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Showing results 41-60

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Washington

Ai Integration Engineer information

See Washington salary details

$50.4K

$140.8K

$196.5K

How much do ai integration engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai integration engineer in Washington is $140,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Washington?

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

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

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

What cities in Washington are hiring for Ai Integration Engineer jobs?

Cities in Washington with the most Ai Integration Engineer job openings:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Washington as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $140,753 per year, or $67.7 per hour.

Integration Engineer (Senior-Level) 112-061

IC-CAP LLC

Chantilly, VA • On-site

$106K - $143K/yr

Full-time

Re-posted 17 days ago

Job description

Integration Engineer (Senior-Level):
Overall Assignment Description:
Senior-level Integration Engineers are responsible for leading the development of program and project integration solutions across the enterprise and determining integration/interface requirements. Provides services for engineering and integration support to enable, within NGA, NSG, and the IC, formal methods for AI Assurance, including, but not limited to, Independent Verification and Validation integration of AI, IV&V/T&E-As-a-Service, Quality Assurance (QA) for fully automated AI models in operational mode, and other innovation activities impacting operational GEOINT AI (robustness learning and testing, Verification of AI, adversarial robustness, metamorphism, brittleness, monotonicity of Deep Neural Network, etc.).
Duties include:
  • Provides a total systems perspective including a technical understanding of relationships, dependencies and requirements of hardware and software components.
  • Develop procedures and upgrades, improving network infrastructures, and managing systems configuration.
  • Develop an integration roadmap strategy to meet the desired outcomes for AI Assurance
  • Demonstrated managing and maintaining external tools/capabilities in platforms like Microsoft Project to ensure sprint planning, project integration is aligning to the roadmap.
  • Document and brief Government on integration risk to the schedule/roadmap and options for overcoming the gaps.
  • Execute to stay abreast on new technology coming into AI for business processes internal and external to our group .
  • Operates at the level of integrating multiple Major Systems Acquisitions across organizational, agency, department, and governmental/national boundaries.
  • Technical strategies and roadmaps for AI tools and capabilities integrating into the AI system Maintain and monitor testbed for automated and manual testing and retirement and insertion of testing into the test environment.

Skills and Experience:
Required:
  • Computer Programming languages to include but not limited to; Python, C++, Matlab, R, Java
  • Demonstrated cross IC and DoD program and acquisitions experience
  • Demonstrated experience in integrating tools and capabilities into DevSecOps platforms
  • leveraging the CI/CD pipelines
  • Demonstrated experience in running testbeds and technical sprints with external IC, DoD,
  • Industry and/or Academia

Desired:
  • Demonstrated experience in SAFe framework and Model Based Systems Engineering
  • Demonstrated experience in Atlassian products such as Confluence and JIRA
  • Demonstrated experience with engineering solutions using Cloud-based technologies.
  • Demonstrated experience with engineering solutions using structured and unstructured Big Data

Education and Experience:
  • 12 to 18 years' experience.
  • Bachelors degree or higher in Engineering, Computer Science, Information Technology,
  • Management Information Systems, or related STEM degree program, or equivalent Senior level
  • experience as an Integration Engineer.

Security Clearance:
  • DoD Approved Clearance and Poly

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