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General Atomics Aeronautical Systems · 5 hours ago

AI Project Engineer

Poway, CA

Full-time

Onsite

Mid, Senior Level

$98K/yr - $171K/yr

4+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a leader in remotely piloted aircraft and advanced surveillance systems. They are seeking an AI Project Engineer to provide expertise in Artificial Intelligence across various engineering teams, collaborating with IT services and business stakeholders to champion AI initiatives and improve engineering processes.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Serve as an AI Project Engineer for Engineering Services, providing expertise and leadership on AI-related projects and process improvements across all Functional Engineering teams

Collaborate with ITS and business teams to identify, evaluate, and prioritize AI use cases and solutions

Participate in the ASI Engineering AI Tech Council, contributing to discussions and strategies related to:

Genie Chatbot use cases, metrics, feedback, process development, and prioritization matrix

AI Technical and Program Roadmaps

Champion AI-related initiatives that aim to improve time-to-market and production efficiency while enabling employees to focus on higher-value, strategic tasks. Key efforts include:

Rollout of AI Intelligent Search for ASI documents, enabling Genie OnBase advanced search capabilities

Development of AI capabilities for automating drawing release and workflows

AI-driven software development, proposal management automation

AI-assisted reviewing and compliance checking for engineering deliverables

Implementation of AI-enabled workflows for document management and digital thread integration

Refine the Engineering AI Roadmap and support ongoing prioritization efforts

Collaborate with external vendors and partners (e.g., Accenture, IBM) to explore innovative AI solutions for engineering processes

Qualification

AI technologies expertiseEngineering tools knowledgeAI toolsFrameworksDigital thread conceptsPassion for AIDoD Security ClearanceCommunicationCollaboration skills

Required

Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; six or more years of experience with a bachelors degree, four or more years of experience with a masters degree, or two or more years with a PhD. May substitute equivalent engineering experience in lieu of education

Demonstrated expertise in AI technologies and their application to engineering workflows

Strong understanding of engineering tools, processes, and standards (e.g., SysML, DOORS, Jama, OnBase, SharePoint)

Excellent communication and collaboration skills, with the ability to work across functional teams and levels of the organization

Experience with AI tools and frameworks, including Large Language Models (LLMs)

Experience with AI-assisted creation and reviewing of engineering deliverables

Passion for AI and its potential to transform engineering practices and business operations

Ability to obtain and maintain DoD Security Clearance is required