Remote AI Process Architect & Orchestrator

GE Aerospace; Lafayette (CO); On-site; USD 152,000 - 202,000; Full time

Job summary

GE Aerospace in the United States is seeking a senior engineer to identify and deconstruct high-value manual processes, replacing bespoke tooling with AI-native solutions. You will lead ethnographic discovery, design multi-step AI agent workflows, and ensure human oversight is integrated throughout the lifecycle.

You will embed with domain experts to capture tacit knowledge, build verifiable models, and orchestrate agent-based systems while maintaining safe, auditable operations in a regulated

Qualifications

• Bachelor’s degree from an accredited university.
• 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 — model a process end-to-end before coding.
• Track record of replacing legacy systems without disrupting operations.

Responsibilities

• Identify and deconstruct high-value manual processes for automation.
• Observe and document actual workflows with domain experts.
• Design multi-step AI agent workflows and tool-use patterns.
• Create formal process models from informal knowledge.
• Manage graceful deprecation of legacy tools without affecting operations.

Skills

Process discovery

Knowledge extraction

AI engineering

LLM-based systems

Agent orchestration

Human-in-the-loop

Systems thinking

Legacy deprecation

Education

Bachelor’s degree

Tools

LLM pipelines

Vision models

Job description

GE Aerospace in the United States is seeking a senior engineer to identify and deconstruct high-value manual processes, replacing bespoke tooling with AI-native solutions. You will lead ethnographic discovery, design multi-step AI agent workflows, and ensure human oversight is integrated throughout the lifecycle.

You will embed with domain experts to capture tacit knowledge, build verifiable models, and orchestrate agent-based systems while maintaining safe, auditable operations in a regulated