AI Process Engineer

🕒 July 29

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

🎖️ Defense

💼 Consulting

Manufacturing • Defense • Consulting

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

📋 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 • Identify where "art" is pattern recognition that can be modeled, versus true judgment calls requiring human decision-making • Produce formal process models from informal, oral-tradition knowledge • Audit legacy/bespoke tooling — identify what they do vs. what people think they do • Design replacements using AI-native approaches (LLM pipelines, vision models, structured extraction) where appropriate • Manage graceful deprecation of legacy tools without disrupting active operations • Architect multi-step AI agent workflows that decompose complex expert tasks into verifiable stages • Define tool-use patterns, context management, and failure/fallback strategies for agents • Build evaluation frameworks that compare agent output against expert baselines • Implement confidence-gated escalation — the system knows what it doesn't know • Design the HITL topology: which decisions require human approval, review, or override • Define escalation thresholds, audit trails, and feedback loops that improve the system over time • Ensure experts transition from "doers" to "reviewers and teachers" without loss of engagement or institutional knowledge • Build calibration mechanisms so human reviewers stay sharp (not rubber-stamping)

🎯 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, which provides 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