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AI Outcome Engineer, Forward Deployed Engineering

Google
Baladiyat ad Dawhah, QAT
Full-time
Senior
Onsite
Discovered Today
Technical troubleshootingEnterprise integrationsAPIsEnterprise content management systemsIdentity systemsCloud infrastructure

Full Job Posting

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience troubleshooting technical issues for internal or 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 such as LangGraph, AutoGen, or CrewAI.
  • Ability to speak and write fluently in Arabic and English.

Preferred qualifications

  • Experience interfacing directly with product or engineering organizations on infrastructure or AI/ML deployments, managing technical delivery strategies, and debugging systems.

About the role

Bridge pre-sales agreement shaping and post-sales execution for AI accounts.

Shape technical solutions during evaluation around adoption, rapid activation, and viable delivery.

Architect integration of technical assets into customer IT ecosystems, including connectors, identity, data residency, and legal constraints.

Responsibilities

  • Partner with account teams and Practice Customer Engineers during technical evaluations to assess feasibility, shape proposals for long-term adoption, and validate engagement requests.
  • Diagnose and resolve complex customer implementation issues using code-level context; identify product bugs and test workarounds.
  • Liaise with Product and Engineering teams to troubleshoot systemic deployment blockers and turn field feedback into feature requests.
  • Guide implementation strategy and own technical delivery realities alongside customer-facing teams.

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