Amazon
Forward Deployed AI Integrator , Field Engineering
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Forward Deployed AI Integrator
Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically—driven by motivated engineers across regions. The opportunity now is to systematically scale what’s working and embed dedicated AI integration capability directly within each regional Field Engineering (FE) team.
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. The role partners with FE engineers, regional leads, and cross-functional GenAI platform teams to deliver measurable productivity outcomes within the region.
This is a hands-on execution role—not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region.
Key Job Responsibilities
- Embed directly with regional Field Engineering (FE) 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 learnings, patterns, and outcomes across regions
- Support development of FE-led initiatives, including:
- Waveform analytics
- Reporting automation
- Engineering tooling
- Operational dashboards
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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 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.
- You bring technical depth, operational curiosity, and a bias for action.
- You move fast, learn from what you build, and share what works with the broader FE AI integration community.
- Recognised as the person in your region who makes AI practical—and delivers it.
About the Team
Field Engineering supports critical operational functions across global AWS infrastructure. The organisation spans multiple engineering disciplines and regions—covering:
- Operational investigations
- Electrical and mechanical systems
- Tooling development
- Reporting
- Commissioning
- Troubleshooting
- Operational analytics
- Process improvement
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The team is increasingly 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.
Qualifications
Basic Qualifications:
- Experience managing technical programs across cross-functional teams, building processes and coordinating release schedules
- Experience building and evaluating system-level technical design
- Bachelor’s degree, or a Master’s degree with machine learning experience (understanding of techniques and performance parameters)
- Hands-on experience in Physical AI, encompassing areas such as:
- Computer Vision
- Robotic systems
Preferred Qualifications:
- Knowledge of critical data center mechanical and electrical equipment
- Knowledge of AWS services
About Amazon’s Commitment to Diversity & Inclusion
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Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is critical to our vision to be Earth’s Best Employer.
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We make recruiting decisions based on your experience and skills, not on race,.Color, religion, national origin, protected veteran status, disability, sex, sexual orientation, or age.
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For additional support during the hiring process, including accommodations, visit our inclusive recruitment page. If your country isn’t currently listed, please reach out to your Recruiting Partner for available options.
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