Hashique Thajudeen

Engineering Leader @ Amazon | fmr Dir. of Engineering @ Saks | 21 Yrs: IBM → Siemens → Saks → Amazon | Agentic AI · Reliability · Eval & Trust

Role
Software Engineering Manager at Amazon
Location
Seattle, WA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Hashique Thajudeen

For 21 years I’ve built the infrastructure software runs on — developer platforms at IBM, distributed compute at Siemens, promise and logistics optimization at Saks Fifth Avenue, and across Amazon: customer trust systems, high-scale search experiences, managed container infrastructure, and now AI agent pipelines.At Amazon I’ve worked close to the metal — from risk evaluation platforms that protected customer trust, to product systems rendering search results at massive scale, to the infrastructure layer beneath it all. That foundation is what I now bring to AI: I’m leading Amazon’s shift from traditional software delivery to agent-driven development — changing how teams go from intent to working systems.What I’ve learned across all of it: the hardest problem isn’t making AI generate code. It’s making the output trustworthy enough to ship. Most organizations are deploying AI on top of infrastructure never designed for it — and ignoring the enterprise data they already have that could make it reliable.That gap between AI potential and enterprise reality is where I spend my time — professionally and personally. I’m actively building systems that use operational data to make AI agents more predictable, auditable, and safe to trust in production.

Experience

  1. Software Engineering Manager

    Amazon

    Nov 2022 — Present · Seattle, WA, US

    Leading the development of an AI agent layer—delivered through an AI-enabled IDE and hosted workflows—that helps builders translate intent into specifications and working code with fewer manual steps. I lead a team of engineers and scientists across agent orchestration, MCP-based toolchains, platform integration points, and the developer experience that ties it together. We run structured experiments—grounded in organizational expertise (patterns, conventions, and past decisions)—to steadily improve specification and code accuracy over time.

Education

  • Cochin University of Science and Technology

    BTech, IT

    2001 — 2005

Skills

  • Soa
  • Spring
  • Java
  • Web Services
  • Xml
  • Uml
  • Eclipse
  • High Performance Computing
  • Grid Computing
  • Gwt
  • Dojo
  • Javascript
  • Java Enterprise Edition
  • Agile Methodologies
  • Software Development
  • Unix
  • Requirements Analysis
  • Software Project Management
  • Representational State Transfer (Rest)
  • Design Patterns
  • Tomcat
  • Javaserver Pages (Jsp)
  • Hibernate
  • Enterprise Software
  • Software Design Patterns
  • Osgi
  • Web Development
  • Restful Webservices
  • Technical Leadership
  • Leadership
  • Distributed Systems
  • Scalability
  • Work Very Well with Others
  • Sql
  • Postgresql
  • Junit
  • Soap
  • Servlets
  • Object Oriented Design
  • Jira

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Hashique Thajudeen — Software Engineering Manager at Amazon in Seattle, WA, US | Unifers