AI Integrator

General Dynamics

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $186,542–$252,379 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $219k

$135k most similar roles pay here $265k

This role pays more than 68% of similar roles. Most pay $162,000–$234,150 — the shaded band above. At the midpoint, this role pays about $219k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 444 open roles on FindRole.

Listed pay typically runs $112,924–$149,500 across 377 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · AI Integrator

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As an AI Integrator at GDIT, you will join a dynamic team to drive mission impact through innovative system integration. Your daily responsibilities include developing system architectures for seamless communication between large language model (LLM)-powered solutions and traditional systems like databases and data lakes, integrating AI-based systems with external platforms such as dashboards and real-time processing systems, deploying and managing AI/ML workloads, and collaborating closely with national security analysts to align integration efforts with operational goals. You will leverage Python for scripting and API development, utilize DevOps tools like Jenkins, Docker, and Kubernetes for CI/CD processes, and optimize LLM-based workflows for enhanced performance. This role requires extensive experience in application programming interfaces (APIs), IT systems integration, and DevOps practices to ensure robust and efficient AI system deployments within a high-security environment.

Skills

Python Docker Kubernetes Jenkins CI/CD APIs Microservices DevOps LLMs Data Lakes Databases

What you'll do

Develop system architecture for seamless communication between LLM-powered solutions and non-LLM systems.
Integrate AI-based systems with external data ingestion pipelines, dashboards, and real-time processing systems.
Deploy and manage AI/ML workloads using DevOps tools like Jenkins, Docker, Kubernetes.
Optimize LLM-based workflows to reduce latency and enhance performance.
Use Python for scripting and integrating AI models into various applications.

What we're looking for

US citizenship and TS/SCI clearance with polygraph required
15+ years of experience in IT systems integration
Proficiency in Python, DevOps tools (Jenkins, Docker, Kubernetes), and APIs
Experience deploying and managing AI/ML workloads
Ability to integrate LLM-powered solutions with external systems and databases
Strong communication skills for collaboration with national security analysts

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