VP, AWS Cloud Platform & AI Architecture Lead

Barclays

New Jersey

On-site

USD 170,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental and vision coverage
401(k)
Life insurance
Paid leave
Incentive award

Job summary

Barclays in Whippany, NJ seeks a Senior AWS Cloud Engineering Lead - VP to architect and ship agentic workflows, RAG, tool calling and orchestration on AWS EKS, with enterprise governance and privacy controls from day one.

You will lead design and operations of secure, scalable cloud platforms, drive cost optimization, mentor teams, and partner with stakeholders to deliver AI-driven cloud capabilities while maintaining high availability and resilience.

Qualifications

  • Experience designing and managing secure, scalable AWS cloud infra across multi-account environments.
  • Strong knowledge of IAM, VPC, Route 53, CloudFormation, EKS, Istio, OPA, and Kubernetes.
  • Experience leading cloud platform operations, monitoring, and security compliance.
  • Ability to drive cloud cost optimization and DevOps practices across enterprise environments.

Responsibilities

  • Architect and ship agentic workflows, RAG, tool-calling and orchestration on AWS EKS.
  • Lead cloud platform operations, monitoring, and security compliance for high availability.
  • Drive cost optimization and implement efficient AWS spend controls.
  • Partner with application, security, and business teams to enable adoption of modern cloud and AI-driven operations.

Skills

AWS Cloud
Multi-account AWS
IaC (CloudFormation)
EKS / Kubernetes
Security & compliance
Cost optimization
Leadership
AI/LLM concepts

Tools

CloudFormation
Istio
OPA
Kubernetes
LangGraph
LangChain
MCP tool integration
OpenSearch

Job description

Barclays in Whippany, NJ seeks a Senior AWS Cloud Engineering Lead - VP to architect and ship agentic workflows, RAG, tool calling and orchestration on AWS EKS, with enterprise governance and privacy controls from day one.

You will lead design and operations of secure, scalable cloud platforms, drive cost optimization, mentor teams, and partner with stakeholders to deliver AI-driven cloud capabilities while maintaining high availability and resilience.

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