Long applicationsign-up on Google
AI Outcome Engineer, Forward Deployed Engineering
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Salary
≈ $96k – $192k per year (Estimated)
Location
In office (London)
Seniority
Senior · 7+ years exp
Visa
Licensed UK visa sponsor
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 9, 2026. Google scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.
Backed by Y Combinator, Frontline, Seraphim Space
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, ensuring that solutions are shaped strictly through the lens of 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.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 7 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.
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