AI Engineering Manager

Magical

AI Engineering Manager overseeing a team of engineers to build AI solutions for healthcare automation. Focusing on technical execution and team performance in a fast-growing environment.

Posted 7/29/2026full-timeToronto • 🇨🇦 CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong leadership in managing high-performing engineering teams, with a focus on technical execution, operational excellence, and the ability to translate complex problems into actionable plans. Familiarity with enterprise security and healthcare compliance is essential for ensuring reliable AI solutions.

Highest-signal resume keywords

Team LeadershipTechnical JudgmentExperience with LLMsEnterprise Security FamiliarityProduct Judgment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software SystemsArchitectureReliabilityOperational ExcellenceTechnical PlanningAI SystemsModel BehaviorOrchestrationIncident ResponsePerformance Management

Soft Skills

Direct CommunicationLow EgoHigh StandardsCoachingCross-Functional Collaboration

Industry Keywords

Healthcare WorkflowsHIPAASOC 2PHIAuditabilityData AccessPermissionsLogging

About the role

Key responsibilities & impact

The performance, development, and effectiveness of a team of up to 12 engineers
Technical execution across a meaningful area of Magical’s AI platform
Engineering quality, delivery speed, ownership, planning, architecture reviews, and incident response
The systems required to make probabilistic AI reliable enough for enterprise healthcare workflows
Clear technical direction within your team, in partnership with senior engineers and engineering leadership
Translating ambiguous product and customer problems into executable technical plans
Improving the platform so customer deployments become faster, more repeatable, and more scalable
Hiring, onboarding, coaching, and retaining exceptional engineers
Creating an environment where engineers have high autonomy, clear accountability, and room to grow
Cross-functional execution with Product, Design, Deployment, Security, and customer-facing teams

Requirements

What you’ll need

Experience leading a high-performing engineering team through an ambiguous, fast-growing stage
Strong technical judgment in production software systems, architecture, reliability, and operational excellence
Meaningful experience with LLMs, agents, evals, orchestration, model behavior, or other production AI systems
The ability to earn the respect of strong engineers without needing to make every technical decision yourself
Strong product judgment and an instinct for balancing speed, quality, scalability, and customer impact
A track record of developing engineers, addressing performance issues directly, and raising the talent bar
Experience turning broad objectives into clear ownership, technical plans, and measurable outcomes
Comfort operating close to customers and understanding the real-world consequences of engineering decisions
Familiarity with enterprise security and healthcare trust requirements, including HIPAA, SOC 2, PHI, permissions, auditability, logging, and data access
Low ego, high standards, direct communication, and founder-level urgency.

Benefits

Comp & perks

Flexible work arrangements