AI Outcome Engineer, Forward Deployed Engineering

Google LLC; Qatar; On-site; QAR 150,000 - 210,000; Full time

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

As an AI Outcome Customer Engineer, Forward Deployed Engineering, you will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery.

Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).

Minimum 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 (APIs, enterprise content management (ECMs), identity), 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.

Preferred qualifications:

- Experience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems.

- Partner with Account teams and Practice Customer Engineers (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.

- Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.

- Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.

- Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.