AI Process Engineer

GE Aerospace

AI Process Engineer at GE Aerospace identifying and transforming high-value manual processes using AI agents and modern automation. Collaborating with domain experts to document workflows and replace legacy tools.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $152,000 - $202,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI agent orchestration and process mining, with a strong ability to extract tacit knowledge from domain experts. Proven experience in designing evaluation frameworks and implementing systems thinking for end-to-end process modeling.

Highest-signal resume keywords

AI Agent OrchestrationProcess MiningLLM-Based SystemsSystems ThinkingCognitive Task Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI EngineeringProcess ModelingEvaluation Framework DesignTool-Using SystemsLegacy System Replacement

Soft Skills

CollaborationCommunicationCritical Thinking

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

Ethnographic Process DiscoveryHuman OversightTacit Knowledge ExtractionFailure/Fallback StrategiesHITL Topology

About the role

Key responsibilities & impact

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
Produce formal process models from informal, oral-tradition knowledge
Audit legacy/bespoke tooling — identify what they do vs. what people think they do
Define tool-use patterns, context management, and failure/fallback strategies for agents
Implement confidence-gated escalation — the system knows what it doesn't know
Design the HITL topology: which decisions require human approval, review, or override
Build evaluation frameworks comparing agent output against expert baselines

Requirements

What you’ll need

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

Benefits

Comp & perks

Healthcare benefits include medical, dental, vision, and prescription drug coverage
Access to a Health Coach from GE Aerospace
Employee Assistance Program, providing 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