AI/ML Developer

SAIC; Reston (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Science Applications International Corp. (SAIC) in Reston, VA, is building an early-career AI/ML Developer team within our Solutions and Technology Group, reporting to the Intel Space CTO. Hybrid role in the Northern Virginia corridor with on-site SCIF and customer facilities as needed.

You will prototype and operationalize GenAI/LLMs, NLP, and computer vision for IC mission use cases, spanning PoCs, secure deployment, CI/CD, and demonstrations.

Qualifications

• Residency in Northern Virginia with hybrid work availability.
• Active Top Secret clearance with SCI access is required.
• BS in CS/Data Science/Engineering or related field + 2+ years in software/AI/ML.
• MS in related discipline with 0+ years of experience.
• Proficiency in Python and core software engineering practices (Git, unit testing, clean code).
• Hands-on exposure to ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Prototype and demonstrate AI/ML PoCs (GenAI/LLMs, NLP, CV) for IC use cases.
• Configure and maintain development environments for unclassified and SCIF work.
• Secure deployment and MLOps; containerize apps for secure environments (Docker).
• Integrate prototypes into CI/CD pipelines for secure, multi-tenant cloud deployments (AWS/Azure).
• Prepare demos and ensure codebases are clean, well-documented, and maintainable.
• Draft API guides and system diagrams to support production transitions from prototypes.

Skills

Python

Git

Unit testing

Clean code architectures

PyTorch

TensorFlow

Docker

React

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical discipline

Master's degree in a related technical discipline

Tools

AWS

Azure

React

Job description

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

• 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.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.