Field Engineering teams across the company are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards.
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Key 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.
- 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.
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. You spend your time identifying what's slowing engineers down, prototyping AI-assisted solutions, and driving adoption of what works. You are a dedicated member of the regional team, accountable for making AI integration real and measurable.
About the Team
Field Engineering supports critical operational functions across global infrastructure. The team is actively building AI-enabled workflows to improve operational efficiency and accelerate engineering execution. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all FE regions.
