Amazon Development Centre Canada ULC

Technology

Manager,AIPlatformEngineering,AgentPlatformOrganization

CA$154–258k Toronto, Ontario, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, AI Platform Engineering, Agent Platform Organization at Amazon Development Centre Canada ULC. Skills: AI Platform Engineering, Agent Platform, Software Development Management. Lead and manage a team of AI platform. Define and drive the technical vision for the”

What You'll Achieve.

Deliver high-quality AI platform solutions; Improve platform performance and reliability; Foster a culture of engineering excellence

Industry & Context.

Technology
Problems you'll solve

Complex problem solving; Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree or equivalent experience, 5+ years of experience in software development, 3+ years of experience in a management role

Nice to Have

Master's degree or PhD, Experience with large-scale distributed systems, Experience with AI/ML platforms, Experience with cloud platforms (AWS, Azure, GCP)

What You'll Do.

Lead and manage a team of AI platform

Define and drive the technical vision for the

and maintain scalable AI platforms

Develop and implement best practices for software development

Collaborate with product management and other engineering teams

Mentor and develop engineers on the team

Ensure the reliability

Stay current with emerging technologies and industry trends

How You'll Work.

Team & Collaboration

Cross-functional teams; Product management; Engineering teams

Communication Scope

Technical presentations; Cross-team communication

Process & Methodology

Agile methodologies, Scrum, Roadmap planning, Project execution

Full Job Description

We are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines, models, and platform infrastructure that power core analytics, science and AI intatives. You will own the delivery and operational health of multiple business domains, build and mentor a high-performing team, and help evolve our self-service offerings from reactive dashboards to proactive agent driven approaches. Your team will use AI development IDEs and generative AI tooling daily, and will build multi-agent solutions that automate common data engineering and BI tasks (e.g. pipeline generation, data quality enforcement, testing, and operational response). You will guide this evolution, helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on. You will also help your engineers develop and deploy agents, that solve common Analytics use cases around monitoring, anomaly detection, and insight generation. You will also partner with business intelligence, applied science, and product teams to translate data needs into technical roadmaps, and contribute to shared platform infrastructure when the work calls for it. Basic Qualifications: - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps - - 7+ years of working directly within data engineering or closely related teams, with hands-on contribution to data platform and pipeline delivery - - 3+ years of designing or architecting data systems, including data modeling, pipeline patterns, reliability, and scaling strategies - - 5+ ye

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