{"schemaVersion":"jobsearcher.job.v1","id":"b4e0069a68fa767bb288d2bb","url":"https://jobsearcher.com/jobs/b4e0069a68fa767bb288d2bb","canonicalUrl":"https://jobsearcher.com/jobs/b4e0069a68fa767bb288d2bb","title":"AI Process Engineer","description":"Job Description Summary\nYou 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deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation — replacing outdated bespoke tooling and undocumented expert intuition with transparent, verifiable, and scalable systems.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.\n\nThe Problem You'll Solve\nEvery 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.\n\nJob Responsibilities\n\nProcess Discovery & Knowledge Extraction\n\nEmbed with domain experts to observe and document actual workflows (not the documented ones)\n\nDistinguish genuine expertise and edge‑case reasoning from ritual, habit, and cargo‑cutting\n\nIdentify where \"art\" is pattern recognition that can be modeled, versus true judgment calls requiring human decision‑making\n\nProduce formal process models from informal, oral‑tradition knowledge\n\nTool Replacement & Modernization:\n\nAudit legacy/bespoke tooling — identify what they do vs. what people think they do\n\nDesign replacements using AI‑native approaches (LLM pipelines, vision models, structured extraction) where appropriate, and conventional engineering where not\n\nManage graceful deprecation of legacy tools without disrupting active operations\n\nAgent Workflow Design & Orchestration\n\nArchitect multi‑step AI agent workflows that decompose complex expert tasks into verifiable stages\n\nDefine tool‑use patterns, context management, and failure/fallback strategies for agents\n\nBuild evaluation frameworks that compare agent output against expert baselines\n\nImplement confidence‑gated escalation — the system knows what it doesn't know\n\nHuman‑in‑the‑Loop Architecture\n\nDesign the HITL topology: which decisions require human approval, review, or override\n\nDefine escalation thresholds, audit trails, and feedback loops that improve the system over time\n\nEnsure experts transition from \"doers\" to \"reviewers and teachers\" without loss of engagement or institutional knowledge\n\nBuild calibration mechanisms so human reviewers stay sharp (not rubber‑stamping)\n\nRequired Minimum Experience\n\nBachelor’s degree from an accredited university or college\n\nMinimum of 5 years of experience in software/AI engineering with at least 2 years building LLM‑based or agent‑based systems\n\nDemonstrated ability to extract tacit knowledge from domain experts (process mining, cognitive task analysis, or equivalent)\n\nExperience designing and deploying AI agent orchestration (multi‑step, tool‑using, with evaluation)\n\nStrong systems thinking — can model a process end‑to‑end before writing a line of code\n\nTrack record of replacing legacy systems without burning the house down\n\nValued Experience\n\nBackground in knowledge engineering, expert systems, or decision support\n\nExperience in Aerospace Industry or Aviation Regulatory organizations\n\nFamiliarity with regulated or safety‑critical environments where auditability matters\n\nTraits\n\nDiplomatic persistence — experts will resist. You earn trust before you gain access\n\nDecomposition instinct — you see a 40‑step manual process and immediately think in phases, decision points, and verifiable intermediate states\n\nHealthy skepticism — you don't automate what you don't understand; you don't trust the documentation\n\nBuilder pragmatism — you ship the 80% solution with good HITL, not the 100% solution never\n\nThe 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 July 6th, 2026.\n\nGE 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.\n\nRelocation Assistance Provided: No\n\n#LI-Remote - This is a remote position\n\nGE 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.\n\nGE 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).\n\n#J-18808-Ljbffr","company":"GE Aerospace","rawCompany":"ge aerospace","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-06-29T03:19:07.933Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Process Engineer","description":"Job Description Summary\nYou 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.\n\nThe Problem You'll Solve\nEvery 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.\n\nJob Responsibilities\n\nProcess Discovery & Knowledge Extraction\n\nEmbed with domain experts to observe and document actual workflows (not the documented ones)\n\nDistinguish genuine expertise and edge‑case reasoning from ritual, habit, and cargo‑cutting\n\nIdentify where \"art\" is pattern recognition that can be modeled, versus true judgment calls requiring human decision‑making\n\nProduce formal process models from informal, oral‑tradition knowledge\n\nTool Replacement & Modernization:\n\nAudit legacy/bespoke tooling — identify what they do vs. what people think they do\n\nDesign replacements using AI‑native approaches (LLM pipelines, vision models, structured extraction) where appropriate, and conventional engineering where not\n\nManage graceful deprecation of legacy tools without disrupting active operations\n\nAgent Workflow Design & Orchestration\n\nArchitect multi‑step AI agent workflows that decompose complex expert tasks into verifiable stages\n\nDefine tool‑use patterns, context management, and failure/fallback strategies for agents\n\nBuild evaluation frameworks that compare agent output against expert baselines\n\nImplement confidence‑gated escalation — the system knows what it doesn't know\n\nHuman‑in‑the‑Loop Architecture\n\nDesign the HITL topology: which decisions require human approval, review, or override\n\nDefine escalation thresholds, audit trails, and feedback loops that improve the system over time\n\nEnsure experts transition from \"doers\" to \"reviewers and teachers\" without loss of engagement or institutional knowledge\n\nBuild calibration mechanisms so human reviewers stay sharp (not rubber‑stamping)\n\nRequired Minimum Experience\n\nBachelor’s degree from an accredited university or college\n\nMinimum of 5 years of experience in software/AI engineering with at least 2 years building LLM‑based or agent‑based systems\n\nDemonstrated ability to extract tacit knowledge from domain experts (process mining, cognitive task analysis, or equivalent)\n\nExperience designing and deploying AI agent orchestration (multi‑step, tool‑using, with evaluation)\n\nStrong systems thinking — can model a process end‑to‑end before writing a line of code\n\nTrack record of replacing legacy systems without burning the house down\n\nValued Experience\n\nBackground in knowledge engineering, expert systems, or decision support\n\nExperience in Aerospace Industry or Aviation Regulatory organizations\n\nFamiliarity with regulated or safety‑critical environments where auditability matters\n\nTraits\n\nDiplomatic persistence — experts will resist. You earn trust before you gain access\n\nDecomposition instinct — you see a 40‑step manual process and immediately think in phases, decision points, and verifiable intermediate states\n\nHealthy skepticism — you don't automate what you don't understand; you don't trust the documentation\n\nBuilder pragmatism — you ship the 80% solution with good HITL, not the 100% solution never\n\nThe 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 July 6th, 2026.\n\nGE 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.\n\nRelocation Assistance Provided: No\n\n#LI-Remote - This is a remote position\n\nGE 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.\n\nGE 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).\n\n#J-18808-Ljbffr","datePosted":"2026-06-29T03:19:07.933Z","dateModified":"2026-06-29T03:19:07.933Z","hiringOrganization":{"@type":"Organization","name":"GE Aerospace","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b4e0069a68fa767bb288d2bb"},"url":"https://jobsearcher.com/jobs/b4e0069a68fa767bb288d2bb"}}