Ryan Linton

Engineering and AI/ML Executive | Scaling Intelligent Systems | Bridging Product, Data Science, and Technology

Role
Gm Engineering - Commerce Risk & Fraud at Microsoft
Location
Seattle, WA, US
LinkedIn followers
500 followers

About Ryan Linton

Engineering, Data Science, and Product Management Executive with 20+ years of experience building and scaling high-performance, real-time platforms across cloud, AI/ML, and enterprise systems.Specializes in leading large-scale engineering and AI/ML organizations to deliver low-latency, high-throughput solutions that power business-critical operations and real-time decision-making. Skilled at aligning product vision, data science, and technical execution to accelerate growth, resilience, and platform innovation.Led major system modernizations, AI/ML platform builds, intelligent data pipeline transformations, and next-generation cloud service launches across complex, global environments.Operator mindset. Strategic builder. Relentless on execution.

Experience

  1. Gm Engineering - Commerce Risk & Fraud

    Microsoft

    Dec 2021 — Present · Redmond, WA, US

    Leading a global organization of ~400 Engineering, Product Management, and Data Science professionals to secure Microsoft’s cloud ecosystem against fraud and abuse. Driving end-to-end strategy across prevention, detection, containment, and remediation.Innovating at scale with dynamic Azure quota management based on real-time risk signals, and advancing complex AI/ML models to detect and respond to emerging fraud patterns.Achieved over 70% reduction in fraud-related losses across Azure by delivering resilient, adaptive platforms that protect critical cloud resources and enable secure business growth.

Education

  • ITI

    Management Information Systems, General

  • The University of Winnipeg

    Bachelor of Business Administration (BBA)

    1992 — 1996

Skills

  • Big Data
  • Team Leadership
  • Agile Project Management
  • Distributed Systems
  • Software Development
  • Scrum
  • Amazon Web Services (Aws)
  • Software Project Management
  • System Deployment
  • Program Management
  • System Architecture
  • Devops
  • Large Scale Systems
  • Cloud Applications
  • Enterprise Software
  • .net Framework
  • .net
  • Agile Methodologies
  • Web Services
  • Software Design
  • Scalable Architecture
  • Visual Studio
  • Scalability
  • Software Engineering
  • Solution Architecture
  • System Design
  • Cloud Computing
  • Amazon Ec2

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Ryan Linton — Gm Engineering - Commerce Risk & Fraud at Microsoft in Seattle, WA, US | Unifers