Job Description SummaryYou 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deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation — replacing outdated bespoke tooling and undocumented expert intuition with transparent, verifiable, and scalable systems.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 SolveEvery 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 DescriptionJob Responsibilities:Process Discovery & Knowledge ExtractionEmbed 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-cuttingIdentify where "art" is pattern recognition that can be modeled, versus true judgment calls requiring human decision-makingProduce formal process models from informal, oral-tradition knowledgeTool Replacement & Modernization:Audit legacy/bespoke tooling — identify what they do vs. what people think they doDesign replacements using AI-native approaches (LLM pipelines, vision models, structured extraction) where appropriate, and conventional engineering where notManage graceful deprecation of legacy tools without disrupting active operationsAgent Workflow Design & Orchestration:Architect multi-step AI agent workflows that decompose complex expert tasks into verifiable stagesDefine tool-use patterns, context management, and failure/fallback strategies for agentsBuild evaluation frameworks that compare agent output against expert baselinesImplement confidence-gated escalation — the system knows what it doesn't knowHuman-in-the-Loop Architecture:Design the HITL topology: which decisions require human approval, review, or overrideDefine escalation thresholds, audit trails, and feedback loops that improve the system over timeEnsure experts transition from "doers" to "reviewers and teachers" without loss of engagement or institutional knowledgeBuild calibration mechanisms so human reviewers stay sharp (not rubber-stamping)Required Minimum Experience:Bachelor’s degree from an accredited university or collegeMinimum of 5 years of experience in software/AI engineering with at least 2 years building LLM-based or agent-based systemsDemonstrated 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 codeTrack record of replacing legacy systems without burning the house downValued Experience:Background in knowledge engineering, expert systems, or decision supportExperience in Aerospace Industry or Aviation Regulatory organizations Familiarity with regulated or safety-critical environments where auditability mattersTraits:Diplomatic persistence — experts will resist. You earn trust before you gain accessDecomposition instinct — you see a 40-step manual process and immediately think in phases, decision points, and verifiable intermediate statesHealthy skepticism — you don't automate what you don't understand; you don't trust the documentationBuilder pragmatism — you ship the 80% solution with good HITL, not the 100% solution neverThe base pay range for this position is $152,000 to $202,000 per year. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/commission based on the plan. This posting is expected to close on August 7th, 2026.GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the 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, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. ​GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.This role will require in-person attendance for New Hire Orientation on Day 1Additional InformationGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.Relocation Assistance Provided: No#LI-Remote - This is a remote position