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General Dynamics Information Technology

Builds and runs technology for government agencies

Senior AI Engineer / Software Developer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA$164.4k - $218.5kIn-person

About the Job

Requirements

  • At least 5 years of related experience, with 8+ years of professional software development experience or 6+ years with a relevant advanced degree, including 3+ years building or integrating machine learning or artificial intelligence capabilities.
  • Active Top Secret/Sensitive Compartmented Information clearance with polygraph is required to start.
  • Security+ CE or another IAT Level II or higher certification is required to start.
  • A bachelor's degree or equivalent experience is required.
  • Expert-level Python and working proficiency in at least one additional language, such as JavaScript, TypeScript, or Java, are required.
  • Demonstrated experience deploying or serving large language models or machine learning models in disconnected, on-premises, or government cloud environments, such as Azure Government or AWS GovCloud, is required.
  • Practical experience with model inference, embeddings, vector search, and prompt engineering in production systems is required.
  • Experience with containerization, such as Docker or Kubernetes, and continuous integration and continuous delivery in restricted environments is required.
  • A strong understanding of data security, classification handling, and responsible artificial intelligence practices is required.
  • The ability to work directly with government customers and translate mission requirements into technical solutions is required.

Responsibilities

  • Architect, build, and maintain artificial intelligence-enabled applications and services within air-gapped and government cloud environments.
  • Deploy, serve, and tune large language models and machine learning models on-premises or in accredited cloud enclaves without relying on external application programming interfaces.
  • Design retrieval-augmented generation pipelines and embedding workflows over controlled data sets, with appropriate data handling and classification controls.
  • Operationalize the program's artificial intelligence governance framework, including model capability tiering, use-case approval workflows, rules of engagement, and audit and logging requirements.
  • Support security accreditation activities, including Authorizing Official engagement, Risk Management Framework documentation inputs, and responsible artificial intelligence evidence.
  • Build and optimize data pipelines feeding artificial intelligence-driven features and integrate them with existing program systems and workflows.
  • Establish code quality, testing, and documentation standards for the artificial intelligence engineering function, and mentor mid-level developers as the team grows.
  • Brief technical approaches and results to program leadership and government customers.

Desired Qualifications

  • Experience supporting Risk Management Framework accreditation or Authorizing Official engagement for artificial intelligence or machine learning systems.
  • Familiarity with open-weight model deployment, such as Llama or Mistral, and model quantization or optimization for constrained hardware.
  • Experience with machine learning frameworks; PyTorch is preferred.
  • Prior work on intelligence community or Department of Defense programs; National Reconnaissance Office experience is a significant plus.
  • Experience establishing or leading a small engineering team.

About the Company

General Dynamics Information Technology

Builds and runs technology for government agencies

GDIT builds and runs technology systems for U.S. government agencies, including defense, intelligence and civilian organizations. Its work spans cloud infrastructure, cybersecurity and software development, with tools tailored to sensitive missions and large agency operations. The company combines its own reusable technology solutions with commercial products, then earns revenue through contracts to design, integrate, modernize and operate customer systems, including support for both classified and unclassified networks. It also supplies technical expertise and daily operational support, and is a business unit of General Dynamics headquartered in Falls Church, Virginia.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
1999

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