AI Process Engineer

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GE Aerospace

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10.000+ Mitarbeiter

🏭 Fertigung

🎖️ Verteidigung

💼 Beratung

Manufacturing • Defense • Consulting

GE Aerospace ist ein weltweit führender Anbieter von Jet- und Turboprop‑Triebwerken sowie integrierten Systemen für die zivile, militärische, Geschäfts- und Allgemeinluftfahrt. Das Unternehmen setzt sich dafür ein, die nachhaltige Luftfahrt voranzubringen – durch die Entwicklung effizienter Flugzeugtriebwerke, die mit alternativen Kraftstoffen kompatibel sind – und arbeitet branchenweit zusammen, um Innovation und Flugsicherheit zu fördern.

Beschreibung

• 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)

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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