Remote AI Process Architect: Automating Expert Workflows

GE Aerospace; Trevose (PA); On-site; USD 152,000 - 202,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Tuition assistance

Paid time-off

Job summary

GE Aerospace is seeking a talented engineer to identify, deconstruct, and re-implement high-value processes using AI agents, LLMs, and modern automation. You will own end-to-end work from discovery through production orchestration with human oversight.

You will embed with domain experts to observe workflows, design scalable, auditable agent systems, and replace legacy tooling with transparent architectures. Remote-friendly role in the United States.

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.

Responsibilities

• Process Discovery & Knowledge Extraction with domain experts.
• Architect multi-step AI agent workflows and tool-use patterns.
• Define context management and failure/fallback strategies for agents.
• Build evaluation frameworks comparing agent output to expert baselines.
• Implement confidence-gated escalation and HITL integration.
• Design the HITL topology and escalation thresholds.
• Ensure graceful deprecation of legacy tools without operational disruption.

Skills

Process discovery

Systems thinking

Diplomatic persistence

Decomposition instinct

Healthy skepticism

HITL design

Education

Bachelor’s degree

Tools

LLM-based systems

Agent orchestration frameworks

Knowledge extraction techniques

Job description

GE Aerospace is seeking a talented engineer to identify, deconstruct, and re-implement high-value processes using AI agents, LLMs, and modern automation. You will own end-to-end work from discovery through production orchestration with human oversight.

You will embed with domain experts to observe workflows, design scalable, auditable agent systems, and replace legacy tooling with transparent architectures. Remote-friendly role in the United States.