Lead AI & Platform Architect

Thomson Reuters Corp.

Northern (KY)

Ibrido

USD 159.000 - 295.000

Tempo pieno

4 giorni fa
Candidati tra i primi
Generatore di candidature

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Vantaggi offerti da questo lavoro

Hybrid work model
Mental Health Days
401k with company match

Descrizione del lavoro

Thomson Reuters Corp. is seeking a Principal Engineer to lead AI-driven, scalable tax and accounting software across multiple US sites, including Eagan, Frisco, and Ann Arbor. Hybrid work arrangement with a focus on delivering modern cloud-native solutions.

You will guide engineering standards, mentor teams, and drive AI-powered product features while collaborating with stakeholders across the organization to ensure reliability and performance.

Competenze

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • Strong Computer Science fundamentals in data structures and algorithms.
  • Proven experience with ASP.NET or similar REST API frameworks; API gateways a plus.

Mansioni

  • Provide technical leadership & mentoring across engineers.
  • Define AI vision and strategy for product features and expansions.
  • Drive continuous learning and development within the team.
  • Establish and enforce technical governance standards and patterns.
  • Develop the technical roadmap for the product line and cloud stack.
  • Lead design reviews ensuring scalability and performance.
  • Represent the company as a technical expert in industry forums.

Conoscenze

Software engineering
.NET stack
OO design
API design
UI frameworks
AI/GenAI familiarity
Cloud AWS
DevOps practices
Mentoring
Communication

Formazione

Bachelor’s or Master’s in CS

Strumenti

React
Angular
TypeScript
Node.js
Python
SQL/DB design

Descrizione del lavoro

Thomson Reuters Corp. is seeking a Principal Engineer to lead AI-driven, scalable tax and accounting software across multiple US sites, including Eagan, Frisco, and Ann Arbor. Hybrid work arrangement with a focus on delivering modern cloud-native solutions.

You will guide engineering standards, mentor teams, and drive AI-powered product features while collaborating with stakeholders across the organization to ensure reliability and performance.

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