AI Outcomes Engineer II — Forward-Deployed Solutions

Google; New York (NY); On-site; USD 152,000 - 221,000; Full time

Job summary

Google is seeking an AI Outcome Customer Engineer II in Forward Deployed Engineering to bridge pre-sales and post-sales work for strategic AI accounts. You will architect integrations, guide delivery, and ensure adoption and activation across connectors, identity, and data residency.

The role emphasizes collaboration with product and engineering to translate real-world feedback into actionable improvements and to drive outcomes for complex deployments.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with technical delivery strategies and interfacing with product or engineering organizations.
• Experience in either system design or reading code (e.g., Java, C++, Python).
• 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 during technical evaluation phases to assess feasibility and shape proposals.
• Lead upfront technical design for enterprise AI solutions with secure integration into data pipelines and identity providers.
• Diagnose and resolve complex customer implementation issues and test workarounds.
• Liaise with Product and Engineering to translate field feedback into feature requests.
• Steer implementation strategy with architectural foresight while delivering with customer teams.

Skills

Cloud native architecture

Customer-facing experience

Delivery strategies

Java/C++/Python

Orchestration frameworks

APIs/ECMs/identity

Cloud infra/AI deployments

Education

Bachelor’s degree or equivalent practical experience

Tools

LangGraph

AutoGen

CrewAI

Job description

Google is seeking an AI Outcome Customer Engineer II in Forward Deployed Engineering to bridge pre-sales and post-sales work for strategic AI accounts. You will architect integrations, guide delivery, and ensure adoption and activation across connectors, identity, and data residency.

The role emphasizes collaboration with product and engineering to translate real-world feedback into actionable improvements and to drive outcomes for complex deployments.