Senior AI Integrator - TS/SCI with Poly, Onsite McLean

General Dynamics Information Technology, Inc.; McLean (VA); On-site; USD 187,000 - 252,000; Full time

Benefits offered by this job

Total Rewards at GDIT

Flexible work weeks

Paid time off

Job summary

General Dynamics Information Technology, Inc. is seeking an AI Integrator in McLean, VA to turn data into measurable outcomes for our government customers.

You will own integration of LLM-powered solutions with existing systems, build data pipelines, and deploy AI/ML workloads to drive mission success. You will work closely with security analysts, use Python for integration tasks, and apply DevOps practices (Jenkins, Docker, Kubernetes) across CI/CD pipelines to deliver robust, scalable

Qualifications

• Bachelor's Degree in Computer Science, Engineering, or related technical field or equivalent work experience.
• 15+ years of related experience.
• U.S. citizenship required.

Responsibilities

• Develop system architecture to enable seamless communication between LLM-powered solutions and databases/data lakes.
• Integrate AI-based systems with external systems, incl. data ingestion pipelines, dashboards, real-time processing.
• Deploy and manage AI/ML workloads.
• Collaborate with national security analysts to align efforts with user needs and goals.
• Use Python for model integration and scripting.
• Apply DevOps in CI/CD (Jenkins, Docker, Kubernetes) to automate processes.
• Use APIs and microservices to connect capabilities and services.
• Optimize LLM-based workflows for reduced latency and better performance.

Skills

API

DevOps

IT Systems Integration

Education

Bachelor's Degree in Computer Science/Engineering

Job description

General Dynamics Information Technology, Inc. is seeking an AI Integrator in McLean, VA to turn data into measurable outcomes for our government customers.

You will own integration of LLM-powered solutions with existing systems, build data pipelines, and deploy AI/ML workloads to drive mission success. You will work closely with security analysts, use Python for integration tasks, and apply DevOps practices (Jenkins, Docker, Kubernetes) across CI/CD pipelines to deliver robust, scalable