AI Integrator - TS/SCI with Polygraph
About The Position
GDIT is hiring an AI Integrator to support system integration activities for customer missions. The role develops system architectures that enable communication between LLM-powered solutions and non-LLM systems, including databases and data lakes, and integrates AI-based systems with data ingestion pipelines, dashboards, and real-time processing systems. The AI Integrator deploys and manages AI/ML workloads, collaborates with national security analysts to align integration work with user needs and operational goals, and uses Python, DevOps tools, APIs, and microservices to streamline integration and connect capabilities. The role also optimizes LLM workflows for lower latency and improved performance. This is an onsite position at the customer site in McLean, Virginia. A bachelor’s degree in Computer Science, Engineering, or a related technical discipline is required, or an equivalent combination of education, technical certifications or training, or work experience. The position requires 15 or more years of related experience, U.S. citizenship, and an active TS/SCI clearance with polygraph.
Requirements
- 15 or more years of related experience.
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or an equivalent combination of education, technical certifications or training, or work experience.
- U.S. citizenship required.
- Must currently possess TS/SCI clearance with polygraph.
- Skills in application programming interfaces (APIs), DevOps, and IT systems integration.
Responsibilities
- Develop system architectures that ensure seamless communication between LLM-powered solutions and non-LLM systems, such as databases and data lakes.
- Integrate AI-based systems with external systems, including data ingestion pipelines, dashboards, and real-time processing systems.
- Deploy and manage AI/ML workloads.
- Collaborate with national security analysts to ensure integration efforts align with user needs and operational goals.
- Use Python for AI model integration and scripting.
- Use DevOps practices and CI/CD tools, such as Jenkins, Docker, and Kubernetes, to automate and streamline integration processes.
- Use APIs and microservices to enable interaction between capabilities, services, and components.
- Optimize LLM-based workflows to reduce latency and improve performance.
Benefits
- Medical plan options, including options with Health Savings Accounts.
- Dental plan options.
- Vision plan.
- 401(k) plan with pre- and post-tax contributions and company match.
- Full flex work weeks where possible.
- Paid time off, including vacation, sick and personal time, holidays, and paid parental, military, bereavement, and jury duty leave.
- Short- and long-term disability benefits.
- Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
