Sr. Director, AI Architecture

GE Aerospace

Quick summary

Work type: On-site
Location: Evendale, OHLynnGrand Rapids, MI
Salary: $176,000–$235,000 / yr
Posted: 1 day ago
Nearby: 17 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k

This role $206k

$163k most similar roles pay here $273k

This role pays less than 62% of similar roles. Most pay $174,026–$246,150 — the shaded band above. At the midpoint, this role pays about $206k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 40 open roles on FindRole.

Listed pay typically runs $131,000–$174,000 across 26 roles with salary data.

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View all roles at GE Aerospace

At a glance

TL;DR · Sr. Director, AI Architecture

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As an AI Architect at a leading aerospace OEM, you will lead the technical direction of AI-enabled engineering capabilities across various business units, focusing on propulsion and turbomachinery challenges. Your daily tasks include setting reference architectures, validating proof-of-concept builds, and coaching engineers to ensure compliance with aerospace constraints. You’ll work closely with cross-functional teams, developing roadmaps for AI integration into existing simulation and analysis toolchains while ensuring solutions are compliant with ITAR and export control regulations. Essential skills include expertise in cloud platforms (AWS, Azure, GCP), containerization tools like Docker and Kubernetes, and hands-on experience with LLMs and vector databases. Deep knowledge of aerodynamics, combustion, heat transfer, and materials science is crucial for addressing complex engineering problems effectively.

Skills

AWS Azure GCP Docker Kubernetes CI/CD MLOps LLM Vector databases Agentic orchestration frameworks PostgreSQL MySQL Python Java C++ CFD FEA PLM ITAR CMMC RMF/ATO

What you'll do

Lead technical discussions on AI architectural direction across multiple teams.
Develop a roadmap and implementation plan for AI-enabled engineering capabilities.
Review and develop architecture for data pipelines and model deployment.
Ensure AI solutions comply with aerospace constraints and export control regulations.
Conduct proof of concept builds to validate architectural assumptions and feasibility.
Mentor and coach embedded AI Engineers, removing technical blockers for delivery.
Lead the research on emerging AI technologies and trends to inform development.

What we're looking for

10+ years of experience in production AI/ML systems and enterprise architecture.
Leadership experience in managing technical teams and delivering projects under aerospace constraints.
Expertise in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Hands-on experience with large-scale data engineering, governance, and model deployment.
Deep understanding of aero engine physics, turbomachinery, and related simulation tools.
Ability to navigate ITAR/Export Control regulations and ensure compliance in AI solutions.
Proven track record in developing and mentoring technical teams, fostering a continuous learning culture.

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