AI Integrator

General Dynamics

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $186,542–$252,379 / yr
Posted: 79 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k

This role $219k

$130k most similar roles pay here $266k

This role pays more than 90% of similar roles. Most pay $146,214–$193,233 — the shaded band above. At the midpoint, this role pays about $219k versus about $170k 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 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · AI Integrator

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AI Integrator - TS/SCI with Polygraph serves as a critical technical role within the Data Science and Data Engineering team. The position focuses on system integration activities, including developing architectures to ensure seamless communication between LLM-powered solutions and non-LLM systems like databases and data lakes. Responsibilities include integrating AI-based systems with external components such as data ingestion pipelines, dashboards, and real-time processing systems while optimizing LLM workflows for reduced latency. The role requires collaborating with national security analysts to align integration efforts with operational goals. Key technical requirements include proficiency in Python for scripting and model integration, along with DevOps tools like Jenkins, Docker, and Kubernetes for CI/CD automation. Candidates must also utilize APIs and microservices to enable interaction between various capabilities while managing AI/ML workloads within a high-security national security context.

Skills

LLM Python DevOps CI/CD Docker Kubernetes API Microservices Data Engineering System Architecture Data Lakes Jenkins Data Ingestion Pipelines Real-time Processing Systems

What you'll do

Develop system architectures to ensure seamless communication between LLM-powered solutions and databases or data lakes.
Integrate AI-based systems with external components like data ingestion pipelines, dashboards, and real-time processing systems.
Deploy and manage various AI/ML workloads.
Use Python for scripting and integrating AI models into existing systems.
Utilize DevOps tools including Jenkins, Docker, and Kubernetes to automate and streamline integration processes.
Implement APIs and microservices to enable interaction between different capabilities and components.
Optimize LLM-based workflows to reduce latency and improve overall performance.

What we're looking for

Must possess a Top Secret SCI with Polygraph security clearance.
Must be a United States citizen.
Bachelor's degree in Computer Science, Engineering, or a related technical discipline (or equivalent experience/certifications).
15+ years of related experience.
Proficiency in Python for AI model integration and scripting.
Experience with DevOps tools including Jenkins, Docker, and Kubernetes.
Expertise in API, microservices, and IT systems integration.
US Citizenship.

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