AI Process Engineer

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• Identify, deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation • Own the full arc: from ethnographic process discovery through to production agent orchestration with appropriate human oversight • Embed with domain experts to observe and document actual workflows (not the documented ones) • Distinguish genuine expertise and edge-case reasoning from ritual, habit, and cargo-cutting • Produce formal process models from informal, oral-tradition knowledge • Audit legacy/bespoke tooling — identify what they do vs. what people think they do • Define tool-use patterns, context management, and failure/fallback strategies for agents • Implement confidence-gated escalation — the system knows what it doesn't know • Design the HITL topology: which decisions require human approval, review, or override • Build evaluation frameworks comparing agent output against expert baselines

🎯 Requirements

• Bachelor’s degree from an accredited university or college • Minimum of 5 years of experience in software/AI engineering with at least 2 years building LLM-based or agent-based systems • Demonstrated ability to extract tacit knowledge from domain experts (process mining, cognitive task analysis, or equivalent) • Experience designing and deploying AI agent orchestration (multi-step, tool-using, with evaluation) • Strong systems thinking — can model a process end-to-end before writing a line of code • Track record of replacing legacy systems without burning the house down

🏖️ Benefits

• Healthcare benefits include medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. • Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions • Access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness