AI Customer and Partner Solutions Engineer, Cloud Applied AI

Google•Kirkland, WA
•$183,000 - $265,000

About The Position

The Applied AI team powers business growth with agentic AI, including Gemini for Customer Experience and vertical and domain-packaged solutions. The team develops rapidly deployable solutions to drive adoption and speed to value, working directly with model builders and engineering in a fast-paced, collaborative environment. The AI Customer and Partner Solutions Engineer works across multiple customer deployments, translating complex business needs into production-ready agentic AI solutions for strategic global customers. The role connects Product, Engineering, and customers, contributing to end-to-end delivery and applying best practices for scalable, high-velocity deployments. It also involves incubating new products and defining practices for the Google Cloud ecosystem. Google Cloud provides enterprise-grade solutions and tools to help organizations digitally transform their businesses and industries. Individual pay is determined by job-related skills, experience, and relevant education or training. The U.S. salary range is $183,000–$265,000, plus a 20% bonus target, equity, and benefits.

Requirements

  • Bachelor’s degree in Science, Technology, Engineering, or Mathematics, or equivalent practical experience.
  • 8 years of experience in customer-facing technical roles focused on enterprise systems, such as Solutions Architect, Forward Deployed Specialist, or Principal Consultant.
  • 3 years of experience writing code in one or more programming languages, such as Python or Java.
  • Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.
  • Experience with conversational AI frameworks such as LangChain or Agent Development Kit, and enterprise contact center technologies such as Genesys or Twilio.

Nice To Haves

  • Master’s degree in Engineering, Computer Science, or a related technical field.
  • Experience building and scaling complex production systems, working on multi-stakeholder technical projects, and setting up GCP environments and cloud architecture.
  • Experience with telecom customer deployments or similar industries.
  • Experience in technical consulting and navigating governance, security, and procurement complexities.
  • Ability to bridge LLM capabilities and deterministic enterprise systems such as Salesforce and SAP.
  • Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.

Responsibilities

  • Contribute to early-stage solution engineering, architecture design, and debugging for complex agentic workflows.
  • Stress-test features to influence product roadmaps and implement evaluation frameworks.
  • Develop architectural frameworks and author reusable technical assets.
  • Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.
  • Mitigate high-stakes customer escalations by providing debugging and direct architectural guidance to customer engineering and C-suite teams.

Benefits

  • 20% bonus target
  • Equity
  • Benefits (details linked from Google Careers)
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