Cloud AI Engineer, Lead

Zebra Technologies offers a hybrid work model with flexible hours, strong professional development opportunities, and a commitment to well being and inclusion. In the lead Cloud AI Engineer role, you will design, build, and scale cloud native AI platforms and AI powered tooling across IT Platform Engineering and Cloud Security. You will partner with stakeholders to translate ideas into concrete, rapid proofs of concept, delivering real value through hands on innovation. The role carries a competitive salary range and a robust benefits package designed to support you and your family.

Benefits

• Hybrid work model with flexible hours
• Summer Flex Fridays and Focus Fridays
• Annual companywide well being day
• Healthcare, wellness, and traditional insurances
• Inclusion networks and ongoing learning and development
• Community service days and parental leave
• Employee assistance program and paid time off
• Cash incentive programs
• Compensation: USD 96,800 - 145,200 per year

Responsibilities

• Identify and assess emerging opportunities across Platform Engineering and Cloud Infrastructure that align with business needs and cutting edge technology
• Perform comprehensive business and systems analyses, translating complex findings into clear user stories, requirements, and actionable concepts
• Lead and execute PoCs and hands on delivery to rapidly validate cloud and platform innovations
• Research and report on disruptive technologies such as Generative AI, ML, RPA, and virtual agents, offering strategic recommendations for enterprise adoption
• Serve as the primary IT Cloud Innovation Liaison, coordinating across innovation and product teams
• Plan and facilitate structured ideation sessions to foster collaborative problem solving
• Act as an Innovation Evangelist within IT and the broader enterprise to promote modern engineering practices
• Track KPIs and provide leadership visibility into progress and business outcomes of innovation initiatives
• Establish and maintain a repeatable operating model for cloud-native AI/ML deployment across GCP and Azure, focusing on pipeline architecture, performance, and compliance
• Lead and mentor a high performing team of cloud and AI platform engineers toward predictive log analytics, automation (AIOps), and robust cloud data readiness
• Translate AI governance, cloud security guardrails, and regulatory requirements into practical specs; integrate PII masking and RBAC into automated CI/CD pipelines
• Manage roadmap alignment within the assigned technology portfolios

Requirements

• Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering or a related field
• 5+ years in an operations style environment (NOC, SOC, MOC, etc.) with hands on troubleshooting of networking, service desk, operations center or cloud based infrastructure
• Hands on Google Gemini Enterprise experience with the ability to build and deploy custom agents using the Agent Development Kit (ADK)
• Multi cloud and GenAI platform proficiency including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic
• Experience operating in global, heterogeneous cloud and on premises environments
• Practical knowledge of large language models, Retrieval Augmented Generation architectures and agentic AI patterns such as Model Context Protocol, tool calling, and orchestration frameworks
• Strong scripting or programming capability, particularly Python; software development background is a plus
• Proven track record deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD with measurable outcomes such as high availability and latency reduction
• Solid understanding of enterprise cloud security, API security, and fine grained identity systems; experience integrating PII masking and RBAC into automated pipelines
• Active professional cloud certifications are highly preferred (eg Google Cloud Professional Cloud Architect, Professional ML Engineer or AI Engineer)
• Strong Python based automation, infrastructure provisioning (IaC), and automated testing capabilities

Technologies

• Google Gemini Enterprise
• Agent Development Kit (ADK)
• Google Cloud Platform (GCP)
• Azure
• OpenAI
• Anthropic
• Kubernetes (GKE/AKS)
• Docker
• Python

Location

This is a hybrid role requiring a minimum of three days per week on-site at either our Lincolnshire, IL or Holtsville, NY offices.

Preferred Qualifications

• Some exposure to AI or ML systems, application security, or API security is a plus
• Travel up to 10 percent