AI Outcome Engineer: Enterprise AI Deployments

Google; Austin (TX); On-site; USD 183,000 - 265,000; Full time

Job summary

Google is seeking an AI Outcome Customer Engineer in Forward Deployed Engineering to bridge pre-sales shaping and post-sales execution for enterprise AI deployments. You will steer AI initiatives, ensuring scalable, reliable integration of models, agents, and connectors within customer data pipelines and compliance boundaries.

Working with Google's Gemini models and Vertex AI platform, you’ll collaborate across Product, Engineering, and Go-To-Market teams to deliver customer-focused,

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).

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.
• 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.

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is seeking an AI Outcome Customer Engineer in Forward Deployed Engineering to bridge pre-sales shaping and post-sales execution for enterprise AI deployments. You will steer AI initiatives, ensuring scalable, reliable integration of models, agents, and connectors within customer data pipelines and compliance boundaries.

Working with Google's Gemini models and Vertex AI platform, you’ll collaborate across Product, Engineering, and Go-To-Market teams to deliver customer-focused,