Forward Deployed AI Integrator; UAE National Field Engineering

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.

• 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

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.

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 with in 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