Regional AI Integration Engineer

HUMAN-AI-Z Nexus Technology

Dubai

On-site

AED 300,000 - 420,000

Full time

10 days ago

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Job summary

Amazon Data Services Emirates LLC - Dubai Branch seeks a hands-on Forward Deployed AI Integrator to embed with regional Field Engineering teams in Dubai, identifying AI workflow opportunities and driving adoption of AI-assisted tooling. You will translate experiments into scalable regional standards and collaborate with Gen AI platform teams and FE engineers to deliver measurable productivity outcomes.

The role emphasizes practical execution, building reusable automation patterns, and coaching

Qualifications

  • Bachelor's degree or higher in computer science, machine learning, engineering, or related fields, or equivalent experience.
  • 3+ years of technical program management experience in a large technology company.

Responsibilities

  • Embed directly with regional Field Engineering teams to identify AI workflow opportunities.
  • Drive adoption of AI-assisted workflows across investigations, reporting, and tooling.
  • Partner with FE engineers to replace manual workflows with scalable AI-enabled solutions.
  • Build and document reusable workflow patterns and playbooks for regional FE adoption.
  • Track and report adoption metrics to regional and senior FE leadership.
  • Share learning and patterns across regions.

Skills

AI systems experience
Technical program management
Leadership experience
Communication skills

Education

Bachelor's degree or higher in CS/ML/Engineering

Tools

Python
SQL
MS Power Query

Job description

Amazon Data Services Emirates LLC - Dubai Branch seeks a hands-on Forward Deployed AI Integrator to embed with regional Field Engineering teams in Dubai, identifying AI workflow opportunities and driving adoption of AI-assisted tooling. You will translate experiments into scalable regional standards and collaborate with Gen AI platform teams and FE engineers to deliver measurable productivity outcomes.

The role emphasizes practical execution, building reusable automation patterns, and coaching

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