GE Aerospace
Staff AI Process Engineer
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Job Description
Job Description Summary
===========================
You will identify, deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation — replacing outdated bespoke tooling and undocumented expert intuition with transparent, verifiable, and scalable systems. You own the full arc: from ethnographic process discovery through to production agent orchestration with appropriate human oversight.
The Problem You'll Solve
Every organization has processes that live in the heads of a handful of experts. These workflows are described as "more art than science," rely on tools that haven't been updated since they were written, and resist automation because nobody has properly decomposed what's happening. The experts are protective, the documentation is tribal, and the tooling is brittle.
You will be the person who breaks these open.Job Description ===================
Job Responsibilities
- Process Discovery & Knowledge Extraction
- 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
- Tool Replacement & Modernization:
- 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, and conventional engineering where not
- Manage graceful deprecation of legacy tools without disrupting active operations
Agent Workflow Design & Orchestration
- Architect multi-step AI agent workflows that decompose complex expert tasks into verifiable stages
- Define tool-use patterns, context management, and failure/fallback strategie
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