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Job Description

  • Contribute to technical engagements from 0-to-1, defining the agent’s brain (reasoning paths), hands (API tools), and guardrails to ensure resilient, autonomous infrastructure.
  • Mitigate high-stakes customer escalations, providing direct debugging and architectural guidance to customer developers and C-suite teams.
  • Deploy pre-general availability features in real-world environments to stress-test capabilities, synthesizing field intelligence to directly influence the Google Cloud Product and Developer roadmaps.
  • Advocate for foundational architectural frameworks such as Agent-MVC and pioneer advanced techniques like cyclic reasoning loops to accelerate time-to-value.
  • Bridge the gap between non-deterministic LLM outputs and deterministic enterprise systems (e.g., SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails.

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.

Preferred qualifications:

  • Master's degree in Engineering, Computer Science, or related technical fields.
  • Experience building and scaling complex production systems and 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.
  • 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.
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

Location

Canada

Job Overview
Job Posted:
1 week ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
8+ years

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