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AI Job Summary

Lead technical development for an AI agent team, setting code standards and architectural practices while hiring and managing engineers. Partner with sales and leadership to deploy agentic systems to key accounts and identify emerging skill gaps in areas like tool-calling and foundation models. Requires a bachelor's degree in engineering or computer science, eight years in cloud computing or technical customer-facing roles, Python proficiency, experience building agentic solutions with RAG systems, and prior people management experience.

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Job Description

  • Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate development excellence across the team.
  • Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (agentic systems in customer experience) to key accounts.
  • Lead technical hiring for Applied AI Agent Development, evaluating AI Agent expertise, systems development, and coding skills to build an exceptional development team.
  • Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
  • Collaborate with product and development to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience in cloud computing or a technical customer-facing role.
  • Experience in Python or similar coding languages.
  • Experience developing and deploying agentic solutions utilizing tools, multi-agent workflows and RAG systems.
  • Experience managing customer projects, and experience in resource management.
  • Experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Master’s degree or PhD in AI, Computer Science, or related technical fields.
  • 8 years of experience managing software development, agent development, or similar technical customer-facing teams in a cloud computing environment.
  • Experience designing end-to-end secure, observable multi-agent systems using design patterns (ReAct, self-reflection), state management, and tool-calling protocols.
  • Experience designing intuitive interfaces for AI and agentic systems, prioritizing context development, transparency, and explainability to foster user trust.
  • Experience architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
  • Experience performing discovery interviews to identify business problems and translate complex hardware/AI constraints for C-suites and technical teams.
  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience in cloud computing or a technical customer-facing role.
  • Experience in Python or similar coding languages.
  • Experience developing and deploying agentic solutions utilizing tools, multi-agent workflows and RAG systems.
  • Experience managing customer projects, and experience in resource management.
  • Experience in a people management, supervision/team leadership role.
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  • Role Manager, Agent Development, Applied AI
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Canada
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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.

Job Overview
Eligibility
Canada Right to work in Canada required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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