Remote AI Process Orchestrator — Automation & HITL

GE Aerospace; Boston (MA); On-site; USD 152,000 - 202,000; Full time

Job summary

GE Aerospace seeks a software/AI engineer to identify and re-implement high-value manual processes using AI agents, LLMs, and modern automation. You’ll own the full arc from discovery to production agent orchestration with appropriate human oversight.

The role emphasizes designing AI-native workflows, agent orchestration, HITL architecture, and careful deprecation of legacy tools while ensuring auditability and scalable solutions.

Qualifications

• Bachelor’s degree required.
• 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
• Tool Replacement & Modernization: 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

Systems thinking

Process modeling

Education

Bachelor’s degree from an accredited university or college

Job description

GE Aerospace seeks a software/AI engineer to identify and re-implement high-value manual processes using AI agents, LLMs, and modern automation. You’ll own the full arc from discovery to production agent orchestration with appropriate human oversight.

The role emphasizes designing AI-native workflows, agent orchestration, HITL architecture, and careful deprecation of legacy tools while ensuring auditability and scalable solutions.