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Zebra Technologies

Data capture hardware, software, and services

Cloud AI Engineer – Lead

Platform Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or a related field.
  • At least five years of experience working on an operations-style team, such as a NOC, SOC, or MOC, and troubleshooting networking, service desk, operations center, and/or supporting cloud-based infrastructure.
  • Demonstrated experience with Google Gemini Enterprise and the ability to build and deploy custom agents using the Agent Development Kit (ADK).
  • Familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic.
  • Experience working in a global, heterogeneous cloud and on-premises environment.
  • Practical knowledge of, or technical curiosity to develop hands-on solutions involving large language models (LLMs), retrieval-augmented generation (RAG) architectures, and agentic AI patterns, including Model Context Protocol (MCP), tool calling, and orchestration frameworks.
  • Expertise in scripting or programming languages such as Python for automation or testing is a plus; a software development background is welcomed.
  • A proven record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and CI/CD pipelines, supported by metrics such as high availability, latency reduction, and infrastructure cost optimization.
  • Comprehensive understanding of enterprise cloud security, application and API security, and fine-grained identity systems, with experience integrating personally identifiable information (PII) masking and role-based access control (RBAC) frameworks.
  • A strong software development background with advanced scripting capabilities in Python or similar languages for automation, infrastructure provisioning (IaC), and automated testing.

Responsibilities

  • Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure, matching business needs with technology solutions.
  • Conduct business and systems analyses, translating technical findings into user stories, system requirements, and actionable solution concepts.
  • Coordinate and execute proofs of concept (PoCs) and hands-on delivery activities to validate cloud and platform innovation initiatives.
  • Research, analyze, and report on technologies such as generative AI, machine learning (ML), robotic process automation (RPA), and virtual agents, and provide strategic recommendations for corporate adoption.
  • Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams.
  • Plan, coordinate, and facilitate structured ideation workshops.
  • Promote modern engineering methodologies and cloud-native capabilities within IT and the broader enterprise.
  • Track, analyze, and report key performance indicators (KPIs) to provide leadership visibility into innovation initiatives’ progress and business outcomes.
  • Establish and maintain an operating model for cloud-native AI/ML deployment, addressing pipeline architecture, performance metrics, and compliance guidelines across Google Cloud Platform (GCP) and Azure.
  • Lead and mentor a team of cloud and AI platform engineers, guiding work in predictive log analytics, AIOps automation, and cloud data readiness.
  • Translate AI governance, cloud security guardrails, and regulatory requirements into technical specifications, partnering with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines.
  • Manage roadmap alignment within assigned technology portfolios.

Desired Qualifications

  • Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer, or AI Engineer.
  • Exposure to AI/ML systems, application security, or API security is a plus.
  • Willingness to travel up to 10%.

About the Company

Zebra Technologies

Data capture hardware, software, and services

Zebra Technologies builds data capture and automation solutions for businesses to run more efficiently. Its products include barcode scanners, mobile computers, printers, and RFID systems, which work together with software and services to collect data, track assets, and automate workflows. These tools are used across industries like retail, healthcare, logistics, and manufacturing to improve accuracy and provide real-time visibility into operations. The company differentiates itself with a broad hardware portfolio, integrated software, and a strong partner network that delivers hardware, software, and ongoing services on a recurring basis. Zebra’s goal is to help organizations streamline operations, reduce errors, and make informed decisions through real-time data.

Company size
10,001+
Company stage
IPO
Headquarters
Lincolnshire, IL
Founded
1969

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