G

Google

Runs Search and YouTube and builds Gemini AI

Manager – Agent Development - Applied AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience is required.
  • Eight years of experience in cloud computing or a technical customer-facing role is required.
  • Experience in Python or similar coding languages is required.
  • Experience developing and deploying agentic solutions using tools, multi-agent workflows, and retrieval-augmented generation (RAG) systems is required.
  • Experience managing customer projects and resource management is required.
  • Experience in a people-management, supervision, or team-leadership role is required.

Responsibilities

  • Serve as the technical lead by establishing code standards, architectural best practices, and benchmarks to elevate development excellence across the team.
  • Partner with sales and technical leadership to define requirements for high-value opportunities and deploy specialized experts in agentic systems for customer experience to key accounts.
  • Lead technical hiring for Applied AI Agent Development, evaluating AI agent expertise, systems development, and coding skills to build a development team.
  • Identify skill gaps in emerging technologies, including Model Context Protocol (MCP), tool-calling, and foundation models, to ensure the team maintains subject-matter expertise in an evolving AI stack.
  • Collaborate with product and development teams to resolve blockers and translate field insights into roadmaps while building internal tools to improve organizational efficiency.
  • Build, deploy, and optimize sophisticated AI agents on the CES platform for strategic customers.
  • Manage software developers and contribute to project goals and product strategy while developing the team.

Desired Qualifications

  • A master's degree or PhD in AI, Computer Science, or a related technical field is preferred.
  • Eight years of experience managing software development, agent development, or similar technical customer-facing teams in a cloud computing environment is preferred.
  • Experience designing end-to-end secure, observable multi-agent systems using design patterns such as ReAct and self-reflection, state management, and tool-calling protocols is preferred.
  • Experience designing intuitive interfaces for AI and agentic systems, prioritizing context development, transparency, and explainability to foster user trust is preferred.
  • Experience architecting AI solutions within infrastructures while ensuring data sovereignty and secure governance is preferred.
  • Experience conducting discovery interviews to identify business problems and translating complex hardware and AI constraints for C-suite executives and technical teams is preferred.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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