SW Engineer / AI Enterprise Systems Analyst

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We’re Looking For:

Zebra’s AI, SDLC, licensing, and Web Apps teams are at the forefront of digital transformation, actively recruiting a visionary Senior Software Engineer / AI Enterprise Systems Analyst to revolutionize our AI, SDLC, licensing, and Web Apps solution space.

As the demands of our products evolve, we are moving beyond traditional portals to build a deeply intelligent, “frictionless” customer experience. This involves accelerating the software development lifecycle utilizing AI agents, integration of Large Language Models (LLMs), developing dynamic Agentic interfaces, creating intelligent bots for database alignment, and building modular, scalable UI components.

In this role, you will do more than write exceptional code. You will serve as a core technical leader and primary communicator, bridging the gap between cutting-edge AI capabilities and business strategy. Working closely with product development and order management communities, you will provide the functional leadership necessary to guide global teams through complex integrations. If you are passionate about pioneering AI-assisted workflows, mentoring engineering teams, and shaping the future of customer experience at Zebra, then this role is for you.

Responsibilities

AI-Driven Development & Architecture

• Agentic UI & Frontend AI Integration: Lead the design, architecture, and development of highly interactive, AI-first frontend systems and custom interfaces using modern frameworks backed by LLM capabilities, accelerating the software development life cycle and reducing time to market.
• Intelligent Automation: Architect and develop intelligent bots and re-usable AI modules to ensure seamless alignment across complex databases and existing enterprise applications.
• Next-Gen Enhancements: Continually analyze market needs to elevate SaaS and enterprise-wide applications, transitioning legacy processes into automated, predictive, and frictionless user journeys.

Technical Leadership & Mentorship

• Engineering Excellence: Act as the technical anchor for an Agile Scrum team. Lead architectural design sessions, establish modern coding standards, and implement AI-assisted developer workflows (e.g., GitHub Copilot, Cursor) to multiply team velocity.
• Mentorship: Guide, mentor, and elevate mid-level and junior engineers, fostering a culture of innovation, secure coding practices, and continuous learning within a global team environment.

Strategic Communication & Cross-Functional Collaboration

• Translating AI to Business Value: Serve as the technical translator between engineering and business stakeholders. Confidently analyze, evaluate, and communicate how modern AI tools can solve complex business problems and improve ease-of-use.
• Requirements & Roadmapping: Collaborate deeply with product managers and customers to define clear use cases, user stories, and technical requirements for new generative AI features and software extensions.
• Escalation & Resolution: Provide confident, timely technical leadership during problem resolution and customer escalations, ensuring the highest level of trust and operational excellence.

Minimum Qualifications:

• Bachelor of Science degree in Computer Science, Software Engineering, or a related field; or equivalent of 3+ years of practical experience gained through industry roles, professional experience, or applied AI software development.
• 5+ years of experience as a software engineer/developer in an Agile environment, with a proven trajectory into technical leadership and modern application architecture.
• 1-2 years AI development experience with LLMs, and AI code centric models like Cursor,…