Manager, Agent Development, Applied AI in Toronto

Manager, Agent Development, Applied AI in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead a team in developing cutting-edge AI solutions for real-world challenges.
  • Company: Join Google, a leader in innovative technology and AI.
  • Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
  • Other info: Dynamic work environment with opportunities for growth and collaboration.
  • Why this job: Shape the future of AI while working on impactful projects.
  • Qualifications: 8+ years in cloud computing and experience in managing technical teams.

The predicted salary is between 135000 - 165000 $ per year.

Google utilizes AI tools to assist in assessing candidates in our hiring processes. In most instances, this position requires in-person interviews as part of the hiring process. This posting is for a new vacancy.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

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.

As an Agent Development Manager, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software development manager embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our CES platform.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility.

Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $260000 - $266000 (CAD) + 25% bonus target + equity + benefits.

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Manager, Agent Development, Applied AI in Toronto employer: Google LLC

At Google LLC, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Toronto. As a Senior Account Manager, you'll enjoy competitive compensation, including a 40% bonus, along with ample opportunities for professional growth and development within a globally recognized company. Our commitment to employee well-being and a diverse, inclusive environment makes Google a truly rewarding place to advance your career while making a meaningful impact.

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Contact Details:

Google LLC Recruitment Team

We think you need these skills to ace Manager, Agent Development, Applied AI in Toronto

Cloud Computing
Python
Agentic Solutions Development
Multi-Agent Workflows
Resource Management
People Management
Software Development Management