Amazon Data Services Emirates LLC
Operations, IT, Support Engineering, Technical Program Management, Cloud Computing
ForwardDeployedAIIntegrator(UAENationalOnly)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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