AI Outcome Engineer, Forward Deployed Engineering, Google Cloud
AI Outcome Engineer, Forward Deployed Engineering, Google Cloud
Google India- Posted 16 hours ago
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Job Description
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
Minimum qualifications:
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
Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship
Minimum 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, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
- Experience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems.
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.
More Info
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Key Skills
AI/ML model deployments
technical delivery strategies
debugging systems
enterprise content management (ECMs)
enterprise integrations
