AI Process Engineer

Role Description

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deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation — replacing outdated bespoke tooling and undocumented expert intuition with transparent, verifiable, and scalable systems.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.

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 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.
• Human-in-the-Loop Architecture:
  • 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).

Qualifications

• 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.

Valued Experience

• Background in knowledge engineering, expert systems, or decision support.
• Experience in Aerospace Industry or Aviation Regulatory organizations.
• Familiarity with regulated or safety-critical environments where auditability matters.

Traits

• Diplomatic persistence — experts will resist. You earn trust before you gain access.
• Decomposition instinct — you see a 40-step manual process and immediately think in phases, decision points, and verifiable intermediate states.
• Healthy skepticism — you don't automate what you don't understand; you don't trust the documentation.
• Builder pragmatism — you ship the 80% solution with good HITL, not the 100% solution never.

Requirements

• The base pay range for this position is $152,000 to $202,000 per year.
• 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.

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, and paid time-off for vacation or illness.

Additional Information

• GE 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
• This is a remote position.