AI Outcome Engineer, Forward Deployed Engineering, Google Cloud

Google LLC; Riyadh; On-site; SAR 360,000 - 720,000; Full time

Job summary

Google LLC in Saudi Arabia is seeking an AI Outcome Customer Engineer, Forward Deployed Engineering, to bridge pre-sales and post-sales work. You will shape solutions for AI accounts with emphasis on adoption, rapid activation, and viable delivery within the customer IT ecosystem (connectors, identity, data residency, legal constraints).

Aligned with the Forward Deployed Engineering organization, you will drive how technical assets integrate into client environments, working with product and

Qualifications

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

Responsibilities

• Partner with Account teams and Practice CEs during technical evaluation phases to assess project feasibility and adoption.
• 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 liaison to core Product and Engineering teams, troubleshooting deployment blockers and translating field feedback into feature requests.
• Steer implementation strategy through technical authority and architectural foresight while owning delivery with customer-facing teams.

Skills

Troubleshooting

Technical delivery strategies

Interface with product/engineering

System design/orchestration

Enterprise integrations

Cloud infrastructure

AI/ML model deployments

Education

Bachelor’s degree or equivalent practical experience

Tools

LangGraph

AutoGen

CrewAI

APIs

ECMs

Identity management

Cloud infrastructure

AI/ML deployments

Job description

X In most instances, this position requires in-person interviews as part of the hiring process. Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience with technical delivery strategies and interfacing with product or engineering organizations.
• Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
• Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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