Hybrid Cloud AI Architect: Lead Platform Innovation

Zebra

Lincolnshire (IL)

Ibrido

USD 97.000 - 145.000

Tempo pieno

12 giorni fa

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Vantaggi offerti da questo lavoro

Hybrid work schedule
Healthcare benefits
Learning & development stipend

Descrizione del lavoro

Zebra seeks a Cloud AI Engineer, Lead, to design and scale cloud-native AI platforms, AI-powered log analytics, and semantic tooling. You’ll partner with IT Platform Engineering, Cloud Security, and AI teams to translate ideas into rapid PoCs and robust solutions.

You will lead a team, set governance for AI deployments, and ensure RBAC and PII masking are integrated into automated CI/CD pipelines across GCP and Azure.

Competenze

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years in operations/systems roles (NOC/SOC/MOC) or similar.
  • Hands-on experience with Google Gemini Enterprise and ADK.
  • Multi-cloud and GenAI platform experience (GCP, Azure, OpenAI, Anthropic).
  • Experience with LLMs, RAG, MCP, tool calls, and orchestration frameworks.

Mansioni

  • Identify and evaluate emerging innovation opportunities in Platform Engineering and Cloud Infrastructure.
  • Translate findings into user stories, requirements, and concepts.
  • Lead PoCs and hands-on delivery for cloud/AI initiatives.
  • Analyze disruptive technologies and advise on corporate adoption.
  • Mentor cloud/AI engineers and drive a repeatable AI/ML deployment model.

Conoscenze

Cloud Architecture
GenAI
Kubernetes
Python
RBAC
CI/CD
GCP & Azure
Security & IAM
ADK

Formazione

Bachelor's degree in CS/Engineering

Strumenti

GKE/AKS
Docker
Terraform

Descrizione del lavoro

Zebra seeks a Cloud AI Engineer, Lead, to design and scale cloud-native AI platforms, AI-powered log analytics, and semantic tooling. You’ll partner with IT Platform Engineering, Cloud Security, and AI teams to translate ideas into rapid PoCs and robust solutions.

You will lead a team, set governance for AI deployments, and ensure RBAC and PII masking are integrated into automated CI/CD pipelines across GCP and Azure.

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