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Systems Engineer - AI Integration - TS/SCI with Polygraph
Company: General Dynamics IT
Location: Herndon, VA
Employment Type: Full Time
Date Posted: 05/22/2026
Job Categories: Engineering, Information Technology
Job Description
Systems Engineer - AI Integration - TS/SCI with Polygraph
Bring your leading-edge technology expertise and thirst for knowledge to GDIT's premier cybersecurity contract! We are looking for an innovative, forward-thinking engineer with experience in frontier technologies like AI/ML, Automation, and Cloud/DevOps. You will be in a role with a good deal of latitude to propose improved methods, implement new processes, and research/integrate AI-centric solutions to accelerate AI-driven cybersecurity. HOW A SYSTEMS ENGINEER (AI/ML) WILL MAKE AN IMPACTDesign and implement architectures that integrate AI/ML platforms, model-serving infrastructure, vector databases, and MLOps tooling into enterprise environments.Design, deploy, and maintain AI/ML platforms and supporting infrastructure across cloud, hybrid, and on-prem environments.Integrate AI services with existing enterprise systems, including SIEM/SOAR platforms, APIs, ticketing systems, and operational data sources.Build and maintain secure, scalable pipelines for AI workloads, telemetry, logs, and other structured or unstructured data.Automate infrastructure deployment, configuration management, and operational workflows using tools such as Terraform and Ansible.Support Kubernetes- and container-based environments used for AI applications and model serving.Work closely with cybersecurity teams to implement hardening, access controls, monitoring, and other security requirements for AI systems.Participate in threat modeling, risk assessments, and ATO-related activities for AI infrastructure and integrations.Monitor and troubleshoot issues across systems, networks, applications, and cloud environments.Develop operational documentation including architecture diagrams, runbooks, SOPs, and integration documentation.Advise technical leadership and mission stakeholders on implementation approaches, tradeoffs, and operational risks related to AI technologies.Mentor junior engineers and contribute to improving engineering and operational practices across the team.WHAT YOU'LL NEED TO SUCCEED:Education: Bachelors degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related field; equivalent experience also considered.Experience: 8+ yearsRequired technical skills:Hands-on experience deploying or integrating AI/ML platforms, services, or tooling into operational systems.Strong background in systems engineering, infrastructure engineering, solutions architecture, or related technical roles in secure environments including:Linux administration (RHEL, CentOS, Ubuntu)Networking fundamentals including TCP/IP, DNS, VPNs, firewalls, routing, proxies, and load balancingContainerization and orchestration technologies such as Docker and KubernetesCloud infrastructure, primarily AWS, including IAM, networking, and security servicesInfrastructure and configuration management tools such as Terraform, CloudFormation, or AnsibleScripting or development experience with Python, Bash, PowerShell, Go, or similar languagesExperience with AI/ML infrastructure such as:Model serving platforms and APIs (MLflow, SageMaker, TorchServe, Vertex AI, Azure ML, custom REST/gRPC services)Logging and telemetry pipelinesRelational, NoSQL, object storage, or vector database technologiesCI/CD, Git workflows, artifact management, and automated deployment pipelinesUnderstanding of core cybersecurity concepts, including:Authentication and authorization (SSO, SAML, OIDC, OAuth, RBAC)Encryption, certificates, and key managementSecurity monitoring and SIEM/SOAR integrationsAdditional Requirements:Strong troubleshooting and problem-solving skillsAbility to translate operational and security requirements into technical solutionsComfortable working in fast-paced, highly collaborative environmentsStrong written and verbal communication skillsSecurity clearance level: TS/SCI with PolygraphPreferred QualificationsExperience supporting AI-driven cybersecurity use cases such as threat detection, anomaly detection, UEBA, or automated incident responseExperience integrating hosted or on-prem LLM platformsFamiliarity with retrieval-augmented generation (RAG), prompt engineering, and associated data pipelinesExperience with cybersecurity platforms such as Splunk, Elastic, QRadar, EDR/XDR, IDS/IPS, or SOAR technologiesExperience operating in regulated, mission-critical, or high-security environmentsLocation: Herndon, VA - customer siteOWN YOUR OPPORTUNITYExplore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. #OpportunityOwned#GDITCareers#WeAreGDIT #JET#GDITEnhanced2026#VA_2026Alumni
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