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Job Description

  • Architect and scale resilient runtime engines capable of state persistence, long-context working memory, and multi-agent collaboration for complex, long-running loops.
  • Lead the development of low-latency action execution pipelines, encompassing zero-shot tool selection, OAuth/identity managing, and API integration for short-running actions.
  • Provide technical contributions and systems design architecture review outside of standard people management responsibilities to resolve ambiguous engineering problems.
  • Establish verification systems, offline/online evaluation suites, and performance metrics to ensure agent actions are safe, accurate, and non-destructive.
  • Hire, mentor, and manage a team of Software Engineers and Tech Leads, driving resource allocation, quarterly targets, and cross-functional alignment.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience with software development, including making direct technical contributions to systems architecture.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
  • 5 years of experience in a people management or team leadership role.
  • Experience in agentic AI systems and platforms.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years of experience working in a complex, matrixed organization.
  • 3 years of people management experience leading software engineering teams.
  • Experience developing zero-shot tool selection, long-context working memory systems, and multi-step autonomous workflows.
  • Experience building end-user applications on LLM platforms utilizing multi-agent orchestration frameworks.

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience with software development, including making direct technical contributions to systems architecture.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
  • 5 years of experience in a people management or team leadership role.
  • Experience in agentic AI systems and platforms.
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  • Role Senior Tech Lead Manager, Agentic Platform for Search Verticals
  • Experience 5-7 years
  • Education Any
  • Work type On-site
  • Location United States
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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
Job Overview

Approx. salary range

182K – 271K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 67 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 weeks ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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