Residency in the Northern Virginia corridor for hybrid work model.
Active Top Secret clearance with ability to obtain SCI access.
Bachelor's degree in Computer Science, Data Science, Engineering, or related field with 2+ years of AI/ML experience, or a Master's degree with no experience required.
Foundational proficiency in Python and software engineering practices like Git and unit testing.
Hands-on experience with at least one major ML framework (e.g., PyTorch or TensorFlow).
Responsibilities
Assist in designing, coding, and deploying AI/ML prototypes for IC mission needs.
Help configure and maintain development environments for AI projects.
Collaborate on containerizing applications and deploying models in secure environments.
Integrate prototypes into CI/CD pipelines for secure cloud deployment.
Prepare prototype environments for customer demos and maintain clean codebases.
Draft technical documentation and system diagrams for operational transitions.
Benefits
Hybrid work model with flexibility for remote and on-site work.
Opportunity to work on cutting-edge AI/ML technologies in a high-impact environment.
Engagement with multiple Intelligence Community programs.
Access to professional development and training opportunities.
Collaboration with senior engineers and developers in a dynamic team.
Full Job Description
Job Description
SAIC is building an early-career AI/ML Developer team within our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will support the creation, prototyping, and operationalization of cutting-edge AI/ML Proof of Concepts (PoCs)-including GenAI/LLMs, NLP, and computer vision-specifically tailored to Intelligence Community (IC) mission use cases. These are dynamic, high-impact positions supporting multiple IC programs in both unclassified and classified environments. This is a hybrid role for candidates residing in the Northern Virginia corridor, with on-site work in SCIFs and customer facilities as needed.
Responsibilities include, but are not limited to:
Rapid PoC & demo prototyping (≈50%): Assist senior developers in designing, coding, and deploying visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision) to address IC mission needs.
Environment setup: Help configure and maintain development environments and local tooling for both unclassified and SCIF-based AI development.
Secure deployment & MLOps (≈30%): Collaborate with senior engineers to containerize applications (e.g., Docker) and package models for deployment into secure environments.
Pipeline integration: Assist in integrating prototypes into CI/CD pipelines and deploying them into secure, multi-tenant cloud environments (AWS and/or Azure).
Demos & stakeholder support (≈20%): Prepare prototype environments for customer demonstrations and ensure codebases are clean, well-structured, and well-commented.
Documentation: Draft clear technical documentation, API guides, and system diagrams to support the transition of prototypes into operational systems.
Qualifications
Residency in the Northern Virginia corridor with the ability to support a hybrid work model (remote plus on-site SCIF/customer locations as required).
Active Top Secret clearance with the ability to obtain SCI access
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical discipline and 2+ years of relevant software or AI/ML experience;
OR Master's degree in a related technical discipline with 0+ years of relevant experience.
Foundational proficiency in Python and core software engineering practices (e.g., Git-based version control, unit testing, clean code architectures).
Hands-on exposure to at least one major ML framework (e.g., PyTorch or TensorFlow) through coursework, personal projects, internships, or professional tasks.
Clearance Requirements:
Active Top Secret clearance with the ability to obtain SCI access.
TS/SCI strongly preferred and may be required for specific program tasking.
Preferred Qualifications:
Familiarity with Docker and basic cloud concepts in AWS and/or Azure.
Experience using lightweight frontend tools or frameworks (e.g., React) to build functional, interactive user interfaces for demonstrations.
Familiarity with Intelligence Community missions, environments, and workflows.
Physical Requirements:
Works primarily in an office, lab, or SCIF environment using computers and standard office equipment.
Ability to sit or stand for extended periods while working at a computer workstation.
May require occasional lifting of laptops and related equipment (up to ~20 lbs).
Ability to commute to Northern Virginia-area SAIC and customer facilities and to travel occasionally to other customer sites as required by the program.
About SAIC
Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
