Description

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 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 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. 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. 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.

You are known in your region as the person who makes AI practical — and delivers it.

About The Team

Field Engineering supports critical operational functions across global AWS infrastructure. 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.

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.

Basic Qualifications

Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or experience in a ML or data scientist role with a large technology company
3+ years of technical program management experience
Experience working with or evaluating AI systems

Preferred Qualifications

Experience in data center engineering or operations, or experience in project management
Experience leveraging technology to drive process improvements
Experience in creating process improvements with automation and analysis, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
Experience working within a global company, with multi-country responsibilities
Experience leading and influencing your team or organization, or experience leading engineering teams as a mentor or tech lead
Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - Amazon Data Services Emirates LLC - Dubai Branch

Job ID: A10481151

Forward Deployed AI Integrator (UAE National Only), Field Engineering