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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Austin, TX, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Detroit, MI, USA.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 7 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience in either system design or reading code (e.g., Java, C , Python).
Preferred qualifications: - Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, and AI/ML model deployments.
- Ability to do in-depth search into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
- Ability to translate deep technical integration issues into business impact.
- Excellent executive communication skills.
About the jobAs an AI Outcome Customer Engineer, Forward Deployed Engineering, you will be responsible for enterprise architect, technical debugger, and engineering liaison. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery.
You will be overarching Enterprise Architect and Technical Delivery Manager charting the course. You will also be responsible for technical design, systemic debugging, Product and Engineering integration, and strategic Forward Deployed Engineering (FDE) alignment. You will architect how these technical marvels actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints) and drive the technical delivery strategy from start to finish.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $183000 - $266000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Partner with Account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
- Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
- 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.
