Req ID: RQ220394
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph
Public Trust/Other Required: None
Job Family: Data Science and Data Engineering
Skills:
Artificial Intelligence (AI),Large Language Model (LLM) Fine-Tuning,Systems Engineering
Certifications:
AWS Certified AI Practitioner | Amazon Web Services (AWS) - Amazon Web Services (AWS)
Experience:
8 + years of related experience
US Citizenship Required:
Yes
Job Description:
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 IMPACT
Design 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 : Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related field; equivalent experience also considered.
Experience: 8+ years
Required 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 balancing
Containerization and orchestration technologies such as Docker and Kubernetes
Cloud infrastructure, primarily AWS, including IAM, networking, and security services
Infrastructure and configuration management tools such as Terraform, CloudFormation, or Ansible
Scripting or development experience with Python, Bash, PowerShell, Go, or similar languages
Experience 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 pipelines
Relational, NoSQL, object storage, or vector database technologies
CI/CD, Git workflows, artifact management, and automated deployment pipelines
Understanding of core cybersecurity concepts, including:
Authentication and authorization (SSO, SAML, OIDC, OAuth, RBAC)
Encryption, certificates, and key management
Security monitoring and SIEM/SOAR integrations
Additional Requirements:
Strong troubleshooting and problem-solving skills
Ability to translate operational and security requirements into technical solutions
Comfortable working in fast-paced, highly collaborative environments
Strong written and verbal communication skills
Security clearance level: TS/SCI with Polygraph
Preferred Qualifications
Experience supporting AI-driven cybersecurity use cases such as threat detection, anomaly detection, UEBA, or automated incident response
Experience integrating hosted or on-prem LLM platforms
Familiarity with retrieval-augmented generation (RAG), prompt engineering, and associated data pipelines
Experience with cybersecurity platforms such as Splunk, Elastic, QRadar, EDR/XDR, IDS/IPS, or SOAR technologies
Experience operating in regulated, mission-critical, or high-security environments
Location: Herndon, VA - customer site
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
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The likely salary range for this position is $187,000 - $253,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at https://gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
