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Ai Integration Jobs in Reston, VA (NOW HIRING)

ASM Research

AI Integration Specialist

Washington, DC · On-site

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML research and robust, scalable production systems. This individual possesses a deep understanding of data ...

Booz Allen Hamilton

AI Integration Engineer

Mclean, VA

$105.10K - $141.50K/yr

AI Integration Engineer The Opportunity: We are seeking a highly motivatedAI Integration Engineerto join our team and help design, deploy, and maintain the infrastructure that supports artificial ...

Citian

AI Integration Engineer

Washington, DC

$117.80K - $158.60K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Citian

AI Integration Engineer

Washington, DC

$117.70K - $158.50K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Citian

AI Integration Engineer

Washington, DC · On-site

$117.80K - $158.60K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Citian

AI Integration Engineer

Washington, DC · On-site

$117.80K - $158.60K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Lightedge

Sr. AI Integration Engineer

Ashburn, VA · On-site

$106.40K - $143.20K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position ...

Lightedge

Sr. AI Integration Engineer

Ashburn, VA

$106.40K - $143.20K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position ...

KDA Consulting Inc

Lead AI Integration Engineer

Herndon, VA · On-site

$105.40K - $138.80K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

KDA Consulting Inc

Lead AI Integration Engineer

Herndon, VA · On-site

$105.40K - $138.80K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

Lightedge

Sr. AI Integration Engineer

Ashburn, VA · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Leidos

Senior AI Integration Engineer

Alexandria, VA · On-site

$131.10K - $172.90K/yr

Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

Leidos

Senior AI Integration Engineer

Gaithersburg, MD

$132.40K - $174.50K/yr

Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

Leidos

Senior AI Integration Engineer

Alexandria, VA

$131.10K - $172.90K/yr

Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

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Ai Integration information

See Reston, VA salary details

$22.4K

$122.7K

$177.9K

How much do ai integration jobs pay per year?

As of Jun 1, 2026, the average yearly pay for ai integration in Reston, VA is $122,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $152,400.00 per year, depending on experience, location, and employer.

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

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Ai Integration jobs in Reston, VA? For Ai Integration jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Ai Integration jobs in Reston, VA look for? The top searched job categories for Ai Integration jobs in Reston, VA are:
What cities near Reston, VA are hiring for Ai Integration jobs? Cities near Reston, VA with the most Ai Integration job openings:
Ai Integration jobs near you
Infographic showing various Ai Integration job openings in Reston, VA as of May 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $122,748 per year, or $59 per hour.
AI Integration Specialist

AI Integration Specialist

ASM Research

Washington, DC • On-site

Full-time

Posted yesterday

ASM Research rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

25th of 203 rated it services

Job description

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML research and robust, scalable production systems. This individual possesses a deep understanding of data science principles, machine learning model development, and the engineering expertise required to seamlessly integrate AI solutions into existing enterprise applications and workflows. They will be responsible for ensuring that AI initiatives not only deliver accurate and insightful models but are also designed for operational efficiency, maintainability, and measurable business impact, particularly within the Department of Energy's critical missions.
  • Design, develop, and implement strategies for integrating trained AI/ML models (e.g., predictive analytics, natural language processing, computer vision) into various existing IT systems, operational platforms, and software applications within the DOE.
  • Work closely with data scientists to understand model requirements, performance characteristics, and potential integration challenges.
  • Collaborate with software engineers and DevOps teams to establish robust CI/CD pipelines for AI/ML models, ensuring automated testing, deployment, and monitoring.
  • Develop APIs and microservices to expose AI model functionality for consumption by other applications and services.
  • Implement and manage MLOps (Machine Learning Operations) best practices, including model versioning, lineage tracking, performance monitoring, drift detection, and retraining strategies.
  • Establish monitoring dashboards and alerting systems to proactively identify and address issues related to model performance, data quality, and system health.
  • Act as a key liaison between data science teams and engineering/IT teams, translating complex data science concepts and model requirements into actionable engineering tasks.
  • Provide technical guidance to data scientists on model design for production readiness, including considerations for efficiency, latency, and resource utilization.
  • Participate in data exploration, feature engineering, and model experimentation processes to ensure data quality and model interpretability from an integration perspective.
  • Contribute to the architectural design of AI-enabled systems, advocating for scalable, secure, and resilient solutions.
  • Research and evaluate new technologies, frameworks, and tools for AI integration, deployment, and MLOps.
  • Develop and enforce coding standards, documentation practices, and best practices for AI/ML system development.
  • Communicate technical complexities and integration progress effectively to both technical and non-technical stakeholders, including senior leadership.
  • Develop training materials and conduct demos for internal teams on AI integration tools, processes, and best practices.

Minimum Qualifications
  • Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
  • 12+ years of experience in a technical field with 5 years of experience in software engineering, data engineering, or MLOps, with a strong focus on deploying and integrating AI/ML models.
  • Experience working with large datasets, distributed computing, and cloud platforms (e.g., Azure, AWS, GCP).

Other Job Specific Skills
  • Strong proficiency in Python is essential; experience with Java, Scala, or Go is a plus.
  • Experience with MLOps platforms and tools.
  • Solid understanding of databases (SQL, NoSQL), data warehousing concepts, and data streaming technologies.
  • Experience with cloud-native services for compute, storage, and AI/ML (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform).
  • Experience designing and implementing RESTful APIs for AI services.
  • Strong understanding of software development best practices, including version control (Git), testing, and code review.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to bridge technical and business gaps.

Preferred Skills
  • Experience working within a government agency or highly regulated industry.
  • Familiarity with specific DOE-relevant domains (e.g., energy systems, national security, scientific computing).
  • Experience with real-time AI inference and low-latency systems.
  • Certifications in cloud computing (e.g., Azure AI Engineer, AWS Machine Learning Specialty).

Compensation Ranges
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
Disclaimer
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

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