AI Outcomes Architect - Forward Deployed Delivery

Google LLC

Qatar

On-site

QAR 150,000 - 210,000

Full time

8 days ago

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Job summary

Google LLC in Qatar seeks an AI Outcome Customer Engineer in Forward Deployed Engineering to bridge pre-sales and post-sales execution. You will shape adoption-focused solutions and ensure rapid activation within customer IT ecosystems.

You will collaborate with product/engineering, leverage orchestration frameworks, and drive technical delivery strategies while fluent in Arabic and English to support enterprise deployments.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience troubleshooting technical issues for internal/external partners or customers.
  • Experience with enterprise integrations, Cloud infrastructure, or AI/ML model deployments.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Ability to speak and write in Arabic and English fluently.

Responsibilities

  • Bridge pre-sales and post-sales execution during AI account engagements.
  • Architect how technical assets integrate into customer IT ecosystems.
  • Collaborate with product and engineering to shape delivery strategies.
  • Engage with accounts during evaluation phases to assess feasibility and adoption.
  • Diagnose issues, route feedback to core teams, and test workarounds to unblock delivery.

Skills

API integrations
Cloud infrastructure
AI/ML model deployments
Technical delivery strategies
System design

Education

Bachelor’s degree or equivalent

Tools

LangGraph
AutoGen
CrewAI

Job description

Google LLC in Qatar seeks an AI Outcome Customer Engineer in Forward Deployed Engineering to bridge pre-sales and post-sales execution. You will shape adoption-focused solutions and ensure rapid activation within customer IT ecosystems.

You will collaborate with product/engineering, leverage orchestration frameworks, and drive technical delivery strategies while fluent in Arabic and English to support enterprise deployments.

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