Remote AI Process Engineer: Automate Expert Workflows

GE Aerospace; Anchorage (AK); On-site; USD 152,000 - 202,000; Full time

Benefits offered by this job

Health benefits

401(k) retirement plan

Tuition assistance

Paid time-off

Job summary

GE Aerospace is seeking a highly experienced engineer to identify, deconstruct, and modernize high-value manual processes using AI agents, LLMs, and automated tooling from discovery to production orchestration.

You will collaborate with domain experts to document actual workflows, replace legacy systems, and design verifiable agent-based solutions with strong human oversight. This role requires 5+ years in software/AI engineering and expertise in AI agent orchestration.

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
• 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
• Identify where 'art' is pattern recognition that can be modeled, versus true judgment calls requiring human decision-making
• Produce formal process models from informal, oral-tradition knowledge
• Audit legacy/bespoke tooling — identify what they do vs. what people think they do
• Design replacements using AI-native approaches (LLM pipelines, vision models, structured extraction) where appropriate, and conventional engineering where not
• Manage graceful deprecation of legacy tools without disrupting active operations
• 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 — the system knows what it doesn't know
• Design the HITL topology: which decisions require human approval, review, or override
• Define escalation thresholds, audit trails, and feedback loops that improve the system over time
• Ensure experts transition from 'doers' to 'reviewers and teachers' without loss of engagement or institutional knowledge
• Build calibration mechanisms so human reviewers stay sharp (not rubber-stamping)

Skills

Software/AI engineering

LLM-based systems

Knowledge extraction

Agent orchestration

Systems thinking

Legacy system replacement

Education

Bachelor’s degree

Tools

LLM pipelines

Vision models

Structured extraction

Job description

GE Aerospace is seeking a highly experienced engineer to identify, deconstruct, and modernize high-value manual processes using AI agents, LLMs, and automated tooling from discovery to production orchestration.

You will collaborate with domain experts to document actual workflows, replace legacy systems, and design verifiable agent-based solutions with strong human oversight. This role requires 5+ years in software/AI engineering and expertise in AI agent orchestration.