Cloud AI Engineer, Lead
Zebra Technologies1 month ago
Base Salary
$97k - $145k/yr
Responsibilities
- Identify and evaluate innovation opportunities across platform engineering and cloud infrastructure.
- Analyze business and system needs and translate findings into user stories, system requirements, and solution concepts.
- Coordinate proofs of concept and hands-on delivery for cloud and platform innovation initiatives.
- Research and recommend applications of Generative AI, Machine Learning, Robotic Process Automation, and Virtual Agents.
- Establish an operating model for cloud-native AI/ML deployment across GCP and Azure.
- Lead and mentor cloud and AI platform engineers working on predictive log analytics, AIOps, automation, and cloud data readiness.
- Integrate AI governance, cloud security guardrails, PII masking, and RBAC into automated pipelines.
- Track initiative KPIs, align technology roadmaps, facilitate ideation workshops, and promote cloud-native engineering practices.
Requirements
- Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or a related field.
- At least 5 years of experience on an operations-style team or supporting networking, service desk, operations center, or cloud-based infrastructure.
- Demonstrated experience with Google Gemini Enterprise and building and deploying custom agents using the Agent Development Kit.
- Deep familiarity with GCP, Azure, OpenAI, and Anthropic in global heterogeneous cloud and on-premises environments.
- Hands-on knowledge of LLMs, RAG architectures, and agentic AI patterns including MCP, tool calling, and orchestration frameworks.
- Strong Python or comparable scripting and programming experience for automation, infrastructure provisioning, and automated testing.
- Experience deploying containerized AI solutions with Kubernetes, GKE or AKS, Docker, and CI/CD pipelines.
- Understanding of enterprise cloud security, application and API security, identity systems, PII masking, and complex RBAC frameworks.
- Professional-level cloud certifications such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer, or AI Engineer are highly preferred.
- Exposure to AI/ML systems, application security, or API security is preferred.
- Ability to travel up to 10%.
Benefits
- Hybrid work requiring at least three days per week onsite in Lincolnshire, Illinois, or Holtsville, New York.
- Healthcare, wellness programs, inclusion networks, learning and development, community service days, insurance, parental leave, employee assistance programs, and paid time off.
- Flexible work options including adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day.
- Eligibility for a performance-based annual cash incentive targeted at 10% of base pay and possible long-term incentive equity awards.
Categories
About Zebra Technologies
Zebra Technologies builds barcode and card printers, handheld mobile computers, barcode scanners, RFID readers, real-time location systems, and device-management software for frontline operations in retail, manufacturing, transportation, logistics, and healthcare. It sells hardware, supplies, and software with lifecycle services through a global partner network. Founded in 1969 and headquartered in Lincolnshire, Illinois, Zebra is a public company traded on NASDAQ (ZBRA).