Senior AI-Driven Software Engineer & Enterprise Lead

Zebra Technologies

Lincolnshire (IL)

Hybrid

USD 97,000 - 145,000

Full time

11 days ago

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Benefits offered by this job

Hybrid work
Healthcare benefits
Paid time off
Learning & development

Job summary

Zebra Technologies is seeking a Senior Software Engineer / AI Enterprise Systems Analyst to drive AI-first frontend and backend integrations, mentor global teams, and translate AI capabilities into business outcomes within AI, SDLC, licensing, and Web Apps initiatives.

You will collaborate with product management and customers, design scalable AI architectures, leverage LLMs, and build reusable UI components while guiding architectural decisions and secure coding practices.

Qualifications

  • Bachelor of Science degree in Computer Science, Software Engineering, or related field or 3+ years practical AI development experience.
  • 5+ years software engineering in Agile environment with leadership trajectory.
  • 1-2 years AI development experience with LLMs and AI code-centric models (Cursor, Claude, GitHub Copilot).

Responsibilities

  • Lead AI-driven development and architecture for frontend systems and AI modules.
  • Mentor mid-level and junior engineers across a global team.
  • Translate AI capabilities into business value and define use cases with product managers.

Skills

AI development
Frontend development
Leadership
Mentorship
Communication
Agile/Scrum

Education

Bachelor of Science in Computer Science or related field

Tools

React
TypeScript
Java
Spring Boot
REST APIs
GitHub Copilot
LangChain
LlamaIndex

Job description

Zebra Technologies is seeking a Senior Software Engineer / AI Enterprise Systems Analyst to drive AI-first frontend and backend integrations, mentor global teams, and translate AI capabilities into business outcomes within AI, SDLC, licensing, and Web Apps initiatives.

You will collaborate with product management and customers, design scalable AI architectures, leverage LLMs, and build reusable UI components while guiding architectural decisions and secure coding practices.

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