Remote AI Process Engineer: Orchestrate AI Workflows

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

Benefits offered by this job

Health benefits

401(k) with company match

Tuition assistance

Parental leave

Disability insurance

Paid time off

Job summary

GE Aerospace is seeking a highly skilled AI/ML engineer to identify, deconstruct, and re-implement high-value manual processes using AI agents and automation. You will work with domain experts to observe workflows, model processes, and design multi-step agent orchestration with evaluation against expert baselines.

The role emphasizes building AI-native pipelines, HITL strategies, and safe deprecation of legacy tools while ensuring production-grade reliability and auditability.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• Minimum 5 years in software/AI engineering with 2+ years building LLM-based or agent-based systems.
• Experience extracting tacit knowledge from domain experts.
• Experience designing and deploying AI agent orchestration (multi-step, tool-using, evaluation).
• Strong systems thinking and end-to-end process modeling before coding.
• Track record of replacing legacy systems without disrupting operations.

Responsibilities

• Identify, deconstruct, and re-implement high-value manual processes using AI agents and automation.
• Embed with domain experts to observe and document actual workflows.
• Design multi-step AI agent workflows and define tool-use patterns.
• Build evaluation frameworks comparing agent output to expert baselines.
• Implement confidence-gated escalation and HITL where appropriate.
• Architect HITL topology with escalation thresholds and audit trails.

Skills

AI engineering

LLM-based systems

Agent orchestration

Process discovery

Knowledge extraction

Systems thinking

Education

Bachelor’s degree from an accredited university

Job description

GE Aerospace is seeking a highly skilled AI/ML engineer to identify, deconstruct, and re-implement high-value manual processes using AI agents and automation. You will work with domain experts to observe workflows, model processes, and design multi-step agent orchestration with evaluation against expert baselines.

The role emphasizes building AI-native pipelines, HITL strategies, and safe deprecation of legacy tools while ensuring production-grade reliability and auditability.