Bachelor's degree in Computer Science, Data Science, Engineering, or related field with 9+ years of experience; or Master's degree with 7 years of experience.
U.S. Citizenship required.
Active TS Clearance with ability to obtain TS/SCI.
Proficiency in Python and software engineering practices, including version control with Git and unit testing.
Hands-on experience with AI/ML frameworks like PyTorch or TensorFlow, and managing structured/unstructured data.
Responsibilities
Rapidly design, build, and deploy high-fidelity AI/ML prototypes for Intelligence Community mission needs.
Collaborate with program leads to align prototypes with user workflows and technical requirements.
Transition sandboxed PoCs into secure cloud environments and air-gapped networks.
Build automated CI/CD pipelines and ensure compliance with federal software standards.
Divide technical execution across multiple programs with overlapping timelines.
Negotiate schedules with Project Managers to meet high-priority milestones.
Conduct live technical demonstrations for senior IC customers and maintain clean codebases.
Benefits
Hybrid work opportunity with flexibility in location (Chantilly or Reston, VA).
Engagement in high-impact projects within the Intelligence Community.
Opportunity to work with cutting-edge AI/ML technologies.
Collaboration with a diverse team of experts in a matrixed environment.
Full Job Description
Job Description
We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.
This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or Reston VA . Candidates must have an active TS Clearance with the ability to get a TS/SCI
1. Rapid PoC & Demo Prototyping (40%)
Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.
2. Operationalization & MLOps Integration (30%)
Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.
3. Matrixed Program Support & Timeline Management (20%)
Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.
4. Technical Communication & Stakeholder Engagement (10%)
Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.
Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master's degree with 7 years of relevant experience.
Candidates must be U.S. Citizens.
Clearance: Active TSC Clearance with the ability to get a TS/SCI
Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.
Preferred Qualifications:
Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
Familiarity with IC missions.
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.
