Amazon Data Services Emirates LLC

Operations, IT, Support Engineering, Technical Program Management, Cloud Computing

ForwardDeployedAIIntegrator(UAENationalOnly)

AED 280–450k ~AI est. Dubai, United Arab Emirates FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Forward Deployed AI Integrator (UAE National Only) at Amazon Data Services Emirates LLC. Skills: AI integration, Workflow automation, Operational analytics. Embed with regional Field Engineering teams. Identify AI workflow opportunities”

What You'll Achieve.

Deliver measurable productivity outcomes; Workflows transformed; Engineering hours saved; Adoption driven within the region

Industry & Context.

Operations, IT, Support Engineering, Technical Program Management, Cloud Computing
Problems you'll solve

Identify workflow opportunities; Eliminate duplicated effort; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree or equivalent practical experience, 3+ years technical program management, 3+ years workflow automation, 3+ years operational analytics, Experience with GenAI platforms, Experience with agentic tooling, Experience with AI-enabled operational workflows

Nice to Have

Experience in large-scale infrastructure, Experience in operational engineering, Experience in data center environments, Experience embedding with operational teams, Experience driving hands-on workflow transformation, Experience in engineering investigations, Experience in reporting automation, Experience in workflow acceleration initiatives, Experience working in or supporting EMEA Region, Experience supporting other regions globally, Demonstrated ability to drive adoption, Demonstrated ability to drive change, Ability to drive change without direct authority

What You'll Do.

Embed with regional Field Engineering teams

Identify AI workflow opportunities

Prioritize AI workflow opportunities

Accelerate AI workflow opportunities

Drive adoption of AI-assisted workflows

Replace manually intensive workflows

Build reusable workflow patterns

Build reusable workflow templates

Build lightweight operational playbooks

Work with GenAI platform teams

Work with internal tooling teams

Accelerate delivery of FE AI initiatives

Track adoption metrics

Report operational KPIs

Identify opportunities to eliminate duplicated effort

Share reusable capabilities

Support development of FE-led initiatives

Develop waveform analytics

Develop reporting automation

Develop engineering tooling

Develop operational dashboards

Identify what's slowing engineers down

Prototype AI-assisted solutions

Drive adoption of what works

Make AI integration real

Make AI integration measurable

Share learning with community

Share patterns with community

Share outcomes with community

How You'll Work.

Team & Collaboration

Regional FE teams; Regional leads; Cross-functional GenAI platform teams; Broader FE AI integration community

Communication Scope

Articulate impact; Articulate progress

Full Job 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 el

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