Manager, Agent Development, Applied AI

Role overview

Minimum qualifications

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

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Eight years managing software development, agent development, or similar technical customer-facing teams in cloud computing.
• Experience designing secure, observable multi-agent systems using patterns such as ReAct and self-reflection, state management, and tool-calling protocols.
• Experience designing intuitive AI interfaces that support context development, transparency, explainability, and user trust.
• Experience architecting AI infrastructure solutions with data sovereignty and secure governance.
• Experience conducting discovery interviews and translating business problems and technical constraints for executives and technical teams.

Responsibilities

• Establish code standards, architectural best practices, and benchmarks as technical lead.
• Partner with sales and technical leaders to define requirements for high-value opportunities and deploy agentic-systems experts to key accounts.
• Lead technical hiring and assess agent expertise, systems development, and coding skills.
• Identify emerging technology skill gaps, including MCP, tool-calling, and foundation models, and maintain team expertise.
• Collaborate with product and development teams to remove blockers and translate field insights into roadmaps.
• Build internal tools to improve organizational efficiency.
• Build, deploy, and optimize customer AI agents on the CES platform.

Compensation

• Canada compensation is CAD 260,000–266,000 per year, plus a 25% target bonus, equity, and benefits.
• Individual pay depends on job-related skills, experience, education, and training.

Interview and location information

• In most instances, the position requires in-person interviews.
• Applicants can state a preferred working location of Waterloo, Ontario, or Toronto, Ontario.