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Cloud AI Engineer, Lead
Career Insights for Natural Language Processing Engineer
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$141,067 / year median in New York
Job Description
Overview:
- At Zebra, we are a community of innovators who come together to create new ways of working.
What We're Looking For:
- The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives.
Location:
This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office.Essential Duties/Responsabilities:
- + Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions.
Minimum Qualifications:
- + Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field.
Hands-on Google Gemini Enterprise Expertise:
Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). +Multi-Cloud & GenAI Platform Proficiency:
Deep 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-prem environment. + Practical knowledge of, or deep 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 (e.g., Python) for automation or testing is a plus; software development background is welcomed. + Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. + Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. + Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. + Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications + Some exposure to AI/ML systems, application security, or API security is a plus. + Travel up to 10%Equal Opportunity Employer:
- Zebra is an equal opportunity employer.
Know Your Rights:
https://www.eeoc.gov/sites/default/files/2022-10/EEOC\_KnowYourRights\_screen\_reader\_10\_20.pdf Conozca susDerechos:
https://www.eeoc.gov/sites/default/files/2022-10/22-088\_EEOC\_KnowYourRightsSp\_10\_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at workplace.accommodations@zebra.com .Pay Range:
- $96,800.00 - $145,200.00 Annual
Incentive Compensation:
- In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan.
Zebra Total Rewards:
- Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent.
Benefits:
- We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.
Job Posting Statement:
- To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.
AI Technology Statement:
- Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria.