AI Outcome Engineer, Forward Deployed Engineering

Google LLC; Riyadh; On-site; SAR 562,000 - 787,000; Full time

Job summary

Google LLC is seeking an AI Outcome Customer Engineer in Forward Deployed Engineering to bridge pre-sales agreement shaping with post-sales execution. You will shape solutions through adoption, rapid activation, and viable delivery within customer IT ecosystems, including connectors, identity, data residency, and compliance constraints.

Aligned with FDE, you will architect how these assets integrate, partner with account teams, and drive technical delivery with engineering teams across core

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, 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.

Responsibilities

• Partner with Account teams and Practice Customer Engineers 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.

Skills

Troubleshooting experience

Enterprise integrations (APIs)

ECMs

Identity

Cloud infrastructure

AI/ML deployments

Delivery strategies

Stakeholder interfacing

System design & orchestration

Arabic & English fluency

Education

Bachelor’s degree or equivalent

Job description

In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Doha, Qatar; Riyadh Saudi Arabia.

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.

About The Job:

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).

Responsibilities:

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .