376f7f8e 200d 4a22 967d 395975ac0b7c

About this role

Job ID: 2616563 Location: Chantilly, VA, US Date Posted: 2026-09-04 Category: Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_HYBRID 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 NOVA. Candidates must have an active TS/SCI clearance. 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. Clearance: Active TS/SCI (or ability to immediately upgrade from TS if SCI was held within the last 3 years). 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 Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. <![CDATA[SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

Skills

• Python
• Airflow
• Aws
• Azure
• Ci/Cd
• Machine Learning
• Nlp
• Tensorflow
• Pytorch
• Security