Senior Director, AI Solutions & GenAI

Scotiabank

Dallas (TX)

Presencial

USD 180.000 - 300.000

Jornada completa

hace 11 horas
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Ventajas ofrecidas por este puesto de trabajo

Flexible benefit programs
Well-being support

Descripción de la vacante

Scotiabank in Dallas invites a Director of AI Solutions Engineering to lead a portfolio of secure, scalable AI initiatives across GenAI, document processing, and risk signals. You will shape roadmaps, partner with business lines, and drive adoption with strong governance and platform alignment.

You'll build and mentor delivery pods, deliver measurable business value, and ensure responsible AI, security, and compliance across engineering, data, and platform teams.

Formación

  • 13+ years in software, data, AI/ML, or tech delivery.
  • 5+ years leading engineering teams or cross-functional delivery.
  • Experience delivering enterprise-scale AI/ML or data-intensive solutions.
  • Strong knowledge of GenAI, embeddings, and MLOps/LLMOps.
  • Cloud-native engineering with APIs, microservices, CI/CD, observability.

Responsabilidades

  • Develop and manage AI solution portfolio and roadmap.
  • Lead cross-functional pods across AI and software teams.
  • Provide hands-on engineering enablement and governance.
  • Ensure responsible AI, security, and risk practices across delivery.

Conocimientos

AI leadership
Solution architecture
MLOps/LLMOps
Cloud platforms
Program management
Data governance

Educación

Bachelor’s or Master’s degree in CS/Engineering or related field

Herramientas

Google Cloud Platform
Azure
Kubernetes
CI/CD

Descripción del empleo

Scotiabank in Dallas invites a Director of AI Solutions Engineering to lead a portfolio of secure, scalable AI initiatives across GenAI, document processing, and risk signals. You will shape roadmaps, partner with business lines, and drive adoption with strong governance and platform alignment.

You'll build and mentor delivery pods, deliver measurable business value, and ensure responsible AI, security, and compliance across engineering, data, and platform teams.

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