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

Overview

• 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.
• Bachelor's degree or above in ML Engineering, Computer Science, Data Science, or a related technical discipline — or equivalent practical experience
• 3+ years of experience in technical program management, workflow automation, or operational analytics
• Experience with GenAI platforms, agentic tooling, or AI-enabled operational workflows
• Experience within large-scale infrastructure, operational engineering, or data center environments
• Experience embedding with operational teams to drive hands-on workflow transformation
• Experience in engineering investigations, reporting automation, or workflow acceleration initiatives
• Experience working in or supporting EMEA Region and other regions globally.
• Demonstrated ability to drive adoption and change within a technical team without direct authority
• Strong written and verbal communication skills, with the ability to clearly articulate impact and progress to engineering and leadership audiences
• 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.