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Ai Integration Engineer Jobs in Virginia (NOW HIRING)

Avalore, LLC

Integration Engineer

Arlington, VA · On-site

$107K - $220K/yr

The Integration Engineer will perform the software integration activities required for the WDP ... Please send your request to hr@avalore.ai. Avalore is an Equal Opportunity Employer - We not ...

SAIC

Launch Integration Engineer

Chantilly, VA · On-site

$80K - $120K/yr

Experience using AI enabled engineering tools. * Familiarity with Model Based Systems Engineering ... We integrate emerging technology, rapidly and securely, into mission critical operations that ...

CACI

System Integration Engineer

Sterling, VA · On-site

$165K/yr

System Integration Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... AI-enabled decision support, advanced analytics, or data engineering solutions Security+ or other ...

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Ai Integration Engineer information

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$44.1K

$123.2K

$172K

How much do ai integration engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai integration engineer in Virginia is $123,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $138,800.00 per year, depending on experience, location, and employer.

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.

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.

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 Virginia?

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

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

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

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

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

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 73% Full Time, 21% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $123,209 per year, or $59.2 per hour.

Integration Engineer

Arlington, VA • On-site

Avalore, LLC
See more jobs at Avalore, LLCexternal

$107K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Perform software integration activities for the WDP System, ensuring components work together seamlessly.

  • Design and execute integration tests, troubleshoot complex issues, and develop integration strategies and plans.

  • Manage dependencies, coordinate activities across teams, establish integration environments, and validate API implementations.

Job description

The Integration Engineer will perform the software integration activities required for the WDP System. This person will focus on ensuring that all disparate software components-including infrastructure, data services, and user interfaces-work together seamlessly as a complete system. This person will design and execute integration tests and troubleshoot complex issues that arise between components across the various system environments. This person will develop and maintain integration strategies and plans, implement continuous integration practices and tools, and create automated integration test suites. This person will manage dependencies between components and systems, coordinate integration activities across multiple teams, and establish integration environments that accurately reflect production. This person will troubleshoot and resolve complex integration issues, document integration points and interfaces, and implement service virtualization for testing. This person will validate API implementations against specifications, monitor and report on integration metrics and success rates, and implement integration patterns such as message queues, APIs, and event-driven architectures. This person will collaborate with development teams to ensure components are designed for integration, participate in architecture discussions to address integration challenges, and stay current with integration technologies and best practices.
Requirements
  • SECRET Security Clearance Required
  • CSSLP, GCLD, or GSEC cerification (for Junior / Journeyman roles)
  • FITSP-D, GCSA, GISF, or SSCP certification (for Senior role)
  • We are actively seeking multiple levels:
    • Junior: 0 - 3 years of experience + Bachelor's Degree
    • Journeyman: 4 - 7 years of experience + Bachelor's Degree
    • Senior: 8+ years of experience + Bachelor's Degree
  • Good communication skills, self-starter mindset.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications.
  • Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.

Work Environment:
  • Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
  • Ability to sit at a computer terminal for an extended period of time.

Physical Demands:
  • While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
  • Employee is often required to sit and use their hands and fingers to operate a computer.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:
  • Up to 10%/ Occasional travel.

Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to hr@avalore.ai.
Avalore is an Equal Opportunity Employer - We not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.
Benefits
Eligibility requirements apply.
  • Employer Contributions to Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with a generous matching program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Employee Assistance Program
  • Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
  • Salary estimates for this job range from $107,000 - $220,000.

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