Senior GenAI Cloud Architect

Bank of America

Pennington (NJ)

Sur place

USD 122 000 - 200 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Discretionary bonus eligibility
Industry-leading benefits

Résumé du poste

Bank of America is seeking a Senior Cloud GenAI Platform Engineer to lead the engineering approach for complex GenAI features that deliver business outcomes across Global Markets. You will shape CI/CD, cloud architecture, and scalable deployments in multi-cloud environments.

You will collaborate with Global Markets Sales, QSDG and Platform teams to design and build a Generative AI platform, leveraging vector databases, model endpoints, and high-throughput serving systems in a regulated

Qualifications

  • 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles.
  • Experience with AWS, Azure, and/or GCP (multi-cloud preferred).
  • Container platforms (Kubernetes, EKS, AKS, GKE) and infrastructure-as-code/CI/CD pipelines.
  • Expertise in scalable distributed systems, cloud-native architectures, and microservices.

Responsabilités

  • Define the technology tool stack for the solution and evaluate new testing frameworks and practices.
  • Build and operate the cloud infrastructure layer for GenAI platform across AWS, Azure, GCP.
  • Design, implement, and manage containerized environments (Kubernetes and managed services).
  • Develop and maintain scalable deployment and release pipelines.

Connaissances

Automation
CI/CD
Kubernetes
Cloud platforms
Distributed systems
Observability

Formation

Bachelor Degree or Equivalent Professional Experience

Outils

AWS
Azure
GCP
Kubernetes
Terraform

Description du poste

Bank of America is seeking a Senior Cloud GenAI Platform Engineer to lead the engineering approach for complex GenAI features that deliver business outcomes across Global Markets. You will shape CI/CD, cloud architecture, and scalable deployments in multi-cloud environments.

You will collaborate with Global Markets Sales, QSDG and Platform teams to design and build a Generative AI platform, leveraging vector databases, model endpoints, and high-throughput serving systems in a regulated

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