AI/ML Platform Engineering Manager

Amazon; Vancouver; On-site; CAD 171,000 - 286,000; Full time

Job summary

Amazon's Data Intelligence (DI) team within Customer Service builds and deploys a comprehensive data strategy, applying GenAI, ML, Ontology, and NLP to improve the experiences of customer service associates and the underlying platforms.

As Software Development Manager, you will lead software development for an AI/ML development platform that enables CS teams to build, test, deploy, and operate production AI agents and models safely and at speed, bridging data, ML models and production systems.

Qualifications

• 2+ years of engineering team management experience.
• 7+ years working directly within engineering teams.
• 3+ years designing or architecting scalable systems.
• Knowledge of full SDLC, coding standards, reviews, source control management, build processes, testing, and live-site operations.
• Experience partnering with product or program management teams.

Responsibilities

• Define the technical strategy and establish the long-term vision for the technical foundation of Data Intelligence team.
• Partner with leaders across multiple functions including science, product, data engineering, and BIE. Influence technical direction beyond your immediate team.
• Collaborate with other engineering leaders in the org to drive the technical innovation of our technical foundation.
• Develop high-performing team through hiring, mentoring and retaining top talents.
• Drive operational and engineering excellence with setting high standards for security, quality and engineering best practice.

Skills

Engineering management

Senior engineering experience

System design & architecture

SDLC knowledge

Product partnership

Job description

Amazon's Data Intelligence (DI) team within Customer Service builds and deploys a comprehensive data strategy, applying GenAI, ML, Ontology, and NLP to improve the experiences of customer service associates and the underlying platforms.

As Software Development Manager, you will lead software development for an AI/ML development platform that enables CS teams to build, test, deploy, and operate production AI agents and models safely and at speed, bridging data, ML models and production systems.