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Internship Ai Data Engineer Jobs in Washington (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and incorporating Generative AI into data engineering ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and incorporating Generative AI into data engineering ...

Karsun Solutions LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and incorporating Generative AI into data engineering ...

JCTM, LLC

AI Data Systems Engineer

Quantico, VA · On-site

$123K - $135K/yr

As an AI Data Systems Engineer with JCTM you will support the Marine Corps Warfighting Lab by owning the data foundation for AI Branch initiatives. This position requires hands-on data engineering ...

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Internship Ai Data Engineer information

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

AspectInternship Ai Data EngineerData Scientist
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsOften holds a degree in Data Science, Statistics, or related fields; advanced certifications are common
Work EnvironmentInternship setting, often in tech companies or startups, focusing on data pipeline development and AI model deploymentFull-time role, working on data analysis, modeling, and insights generation in various industries
Employer & Industry UsageUsed by companies seeking entry-level AI/data engineering support, especially in tech and AI sectorsUsed across industries for data analysis, predictive modeling, and strategic decision-making

In summary, an Internship Ai Data Engineer is an entry-level position focused on building data pipelines and supporting AI projects, often held by students or recent graduates. A Data Scientist, on the other hand, is a more advanced role centered on analyzing data, creating models, and deriving insights, typically requiring more experience and expertise.

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Infographic showing various Internship Ai Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

AI Data Engineer

Science Applications International Corporation

Fort Belvoir, VA

$129K - $155K/yr

Full-time

Re-posted 15 hours ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; four (4) years of experience considered in lieu of degree.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  

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