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. • 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.