AI Machine Learning Developer Principal

SAIC • Chantilly, VA

6h • Hybrid

About The Position

We are seeking AI/ML Developers to join the Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of AI/ML proof-of-concepts tailored to Intelligence Community (IC) mission use cases. This is a dynamic, high-impact position supporting multiple programs and serving as a shared technical subject matter expert while balancing competing priorities, timelines, and evolving delivery expectations. The role emphasizes rapid prototyping and turning complex concepts into functional demonstrations.

This is a hybrid opportunity for candidates in Chantilly or Reston, Virginia. Candidates must be U.S. citizens with an active TS clearance and the ability to obtain a TS/SCI clearance.

You will design and build high-fidelity AI/ML prototypes—including generative AI/LLMs, NLP, computer vision, and predictive analytics—for complex IC mission needs. Prototypes may be developed in unclassified environments or on-premises in a SCIF. You will collaborate with program leads and stakeholders to align prototypes with user workflows and technical requirements; transition prototypes into secure cloud environments and air-gapped networks; engineer CI/CD pipelines and containerized applications; coordinate technical execution and schedules across programs; and demonstrate solutions to senior IC customers while maintaining reusable code and architectural documentation.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline and 9+ years of relevant experience, or a master’s degree and 7 years of relevant experience.
• U.S. citizenship.
• Active TS clearance and ability to obtain TS/SCI clearance.
• Proficiency in Python and software engineering practices, including Git version control, unit testing, and clean code architectures.
• Hands-on experience developing machine learning models using frameworks such as PyTorch or TensorFlow.
• Experience handling structured and unstructured data.

Nice To Haves

• Experience deploying AI/ML models in secure, multi-tenant cloud environments such as AWS C2S/SC2S or Azure Government, or on air-gapped networks.
• Familiarity with MLOps and orchestration platforms such as MLflow, Kubeflow, Apache Airflow, or Triton Inference Server.
• Experience with lightweight frontend tools such as Streamlit or Gradio to build functional, interactive demonstration interfaces.
• Familiarity with Intelligence Community missions.

Responsibilities

• Rapidly design, build, and deploy high-fidelity visual AI/ML prototypes, including generative AI/LLMs, NLP, computer vision, and predictive analytics, for IC mission needs.
• Collaborate with program leads and stakeholders to align prototypes with user workflows and emerging technical requirements.
• Develop prototypes in unclassified environments or on-premises in a SCIF, as appropriate.
• Transition sandboxed proofs-of-concept into secure, multi-tenant cloud environments and air-gapped networks.
• Build automated CI/CD pipelines, containerize applications, and support compliance with federal software assurance and security standards.
• Divide technical execution across multiple programs with distinct and overlapping deliverable timelines.
• Coordinate schedules proactively with multiple Project Managers to meet high-priority milestones.
• Conduct live technical demonstrations for senior IC customers.
• Maintain clean, reusable codebases and architectural documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal