AI Adoption Architect & Cloud-Native Leader

Jumio

San Francisco (CA)

On-site

USD 180,000 - 300,000

Full time

4 days ago
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Job summary

Jumio is seeking an AI Adoption Catalyst and Systems Architect to own end-to-end architecture, embedding GenAI across the software lifecycle and driving cost-efficient cloud-native design. You will lead architectural evolution, guide teams, and ensure scalable, secure, and high-performance systems across a multi-tenant SaaS platform.

You will collaborate with developers and business units to integrate LLMs and agentic workflows, enabling rapid experimentation while maintaining governance and

Qualifications

  • 12+ years of hands-on experience in system architecture, data engineering, cloud engineering, or technical leadership roles.
  • Experience with multi-tenant architectures and designing frameworks for configurable SaaS platforms.
  • Deep, hands-on expertise in AWS (e.g., EKS, IAM, Lambda, networking) is required; professional experience with GCP is a strong plus.

Responsibilities

  • Own the technical vision for scalable, high-performance, cost-efficient systems.
  • Define modern architecture patterns that enable growth, high TPS, and seamless scaling.
  • Architect and optimize multi-tenant SaaS platforms, ensuring configurability and performance.
  • Lead cloud cost efficiency initiatives, optimizing infrastructure and compute resources.
  • Collaborate closely with AWS Support and Solution Architects to optimize infrastructure.

Skills

AWS expertise
SaaS architecture
Distributed systems
Microservices
Model execution
GenAI adoption
Infrastructure as Code
Architectural governance
Stakeholder management
Cost optimization

Tools

Kubernetes
Docker
Terraform
CI/CD

Job description

Jumio is seeking an AI Adoption Catalyst and Systems Architect to own end-to-end architecture, embedding GenAI across the software lifecycle and driving cost-efficient cloud-native design. You will lead architectural evolution, guide teams, and ensure scalable, secure, and high-performance systems across a multi-tenant SaaS platform.

You will collaborate with developers and business units to integrate LLMs and agentic workflows, enabling rapid experimentation while maintaining governance and

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