Director of AI Engineering & Global Tech Leadership

Thomson Reuters Corp.

Eagan (MN)

Presencial

USD 159.000 - 295.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid Work Model
Flexible vacation
Mental Health Days

Descripción de la vacante

Thomson Reuters Corp. seeks a Director, Engineering, AI to lead a global Westlaw AI engineering organization.

You will own the multi-year AI strategy and align it with the product roadmap, moving teams to mission-based ownership and guiding AI-assisted development across the organization. The role requires hands-on leadership of managers and senior engineers, with a focus on data-driven decision making, architecture, and vendor integration to deliver scalable, secure AI-powered research

Formación

  • 10+ years in software development with leadership of AI programs.
  • Experience building and shipping AI-enabled software at scale.
  • Proven ability to lead managers, engineers, and vendor teams.

Responsabilidades

  • Lead a global AI engineering organization and set strategic direction.
  • Own the multi-year AI strategy aligned with product roadmaps.
  • Transform teams to mission-based operating model with clear ownership.
  • Drive end-to-end AI lifecycle from retrieval to deployment and monitoring.
  • Establish operational excellence in reliability, security, and cost.

Conocimientos

AI leadership
Cloud/AWS
Data-driven leadership
Communication
Strategy execution

Educación

Bachelor's degree in Computer Science or related field

Herramientas

GitHub Copilot
OpenAI/LLM APIs

Descripción del empleo

Thomson Reuters Corp. seeks a Director, Engineering, AI to lead a global Westlaw AI engineering organization.

You will own the multi-year AI strategy and align it with the product roadmap, moving teams to mission-based ownership and guiding AI-assisted development across the organization. The role requires hands-on leadership of managers and senior engineers, with a focus on data-driven decision making, architecture, and vendor integration to deliver scalable, secure AI-powered research

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