Key job responsibilities Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption Work with GenAI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments Coach and enable FE engineers on practical, approved AI tools including Python-based tooling, Kiro, and internal AI platforms Track and report adoption metrics and operational KPIs to regional and senior FE leadership Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional FE teams Contribute to the broader FE AI integration community by sharing learning, patterns, and outcomes across regions Support development of FE-led initiatives including waveform analytics, reporting automation, engineering tooling, and operational dashboards A day in the life You are embedded in the regional Field Engineering team - working alongside engineers during live investigations, building automation patterns, and coaching ICs on workflow adoption. The organization spans multiple engineering disciplines and regions - covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement.