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AI Customer and Partner Solutions Engineer, Cloud Applied AI

Google
Kirkland, USA
Senior · 8+ years experience
Onsite
USD 183000-265000 / year
Discovered 6 days ago
gcpjavalangchainpythonsap

Full Job Posting

Responsibilities

  • Contribute to 0-to-1 solution engineering, architecture design, and debugging for complex agentic workflows.
  • Be able to stress-test features to influence product roadmaps and implement evaluation frameworks.
  • Pioneer architectural frameworks and authors reusable technical assets.
  • Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.
  • Mitigate high-stakes customer escalations, providing debugging and direct architectural guidance to customer engineering and C-suite teams.

Minimum qualifications:

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

Preferred qualifications:

  • Master's degree in Engineering, Computer Science, or a related technical fields.
  • Experience building and scaling complex production systems, working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.
  • Experience with telecom customer deployments and other similar industries.
  • Experience in technical consulting, navigating the governance, security, and procurement complexities.
  • Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).
  • Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.

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