Remote AI Process Architect - Automate Expert Workflows

Y99000 General Electric Company; United States; Remote; USD 152,000 - 202,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan with company match

Paid time-off

Job summary

GE Aerospace seeks a senior AI/software engineer to identify and deconstruct high-value manual processes, then re-implement them using AI agents, LLMs, and modern automation. You will own end-to-end work from discovery to production orchestration with human oversight.

Responsibilities include designing multi-step workflows, replacing bespoke legacy tooling, and building robust evaluation and escalation mechanisms to ensure safe, auditable automation across complex aerospace processes.

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

• Identify, deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation.
• 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 and HITL where appropriate.

Skills

AI engineering

LLM-based systems

Process mining

Systems thinking

HITL design

Education

Bachelor’s degree

Job description

GE Aerospace seeks a senior AI/software engineer to identify and deconstruct high-value manual processes, then re-implement them using AI agents, LLMs, and modern automation. You will own end-to-end work from discovery to production orchestration with human oversight.

Responsibilities include designing multi-step workflows, replacing bespoke legacy tooling, and building robust evaluation and escalation mechanisms to ensure safe, auditable automation across complex aerospace processes.