AI Integrator

General Dynamics

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Quick summary

Work type: On-site
Location: McLean, VA
Salary: $186,542–$252,379 / yr
Posted: 125 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k

This role $219k

$127k $266k

below market most similar roles pay here above market

This role pays more than 89% of similar roles. Most pay $140,807–$190,632 — the blue band above. At the midpoint, this role pays about $219k versus about $166k 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 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

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At a glance

TL;DR · AI Integrator

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The AI Integrator joins the Data Science and Data Engineering team to support complex system integration activities for national security analysts. This role involves developing system architectures to ensure seamless communication between LLM-powered solutions and non-LLM systems, such as databases and data lakes. The AI Integrator will integrate AI-based systems with data ingestion pipelines, dashboards, and real-time processing systems while deploying and managing AI/ML workloads. Key responsibilities include optimizing LLM-based workflows for reduced latency and using APIs and microservices to enable interaction between different components. The position requires proficiency in Python for scripting and model integration, alongside DevOps tools including Jenkins, Docker, and Kubernetes for CI/CD automation. The work focuses on aligning technical integration efforts with specific operational goals and user needs.

Skills

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

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 data ingestion pipelines, dashboards, and real-time processing systems.
Deploy and manage AI/ML workloads within the production environment.
Use Python for AI model integration and scripting purposes.
Utilize DevOps tools like 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 an active Top Secret SCI with Polygraph security clearance.
Must be a United States citizen.
Must have 15+ years of related experience.
Must have a Bachelor's Degree in Computer Science, Engineering, or a related technical discipline.
Must possess skills in Application Programming Interface (API), DevOps, and IT Systems Integration.
Must be proficient in using Python for AI model integration and scripting.
Must have experience using DevOps in CI/CD, including Jenkins, Docker, and Kubernetes.
US Citizenship.

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