Overview
Zebra's AI, SDLC, licensing, and Web Apps teams are 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.
Responsibilities
•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.
•Engineering Excellence: Act as the technical anchor for an Agile Scrum team. Lead architectural design sessions, establish coding standards, and implement AI-assisted developer workflows to multiply team velocity.
•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.
•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, Claude, GitHub Co-Pilot.
•Modern AI & LLM Tooling: Hands-on experience integrating Large Language Models (e.g., OpenAI, Gemini, Claude) via REST APIs. Familiarity with AI orchestration frameworks (e.g., LangChain, LlamaIndex) and prompt engineering.
•AI Front-Focused Development: Deep expertise in modern frontend ecosystems, specifically React JS, TypeScript, and modern CSS/HTML, with a focus on building dynamic, state-heavy, responsive web applications.
•Backend & Integration: Strong foundation in Java, Spring Boot, RESTful Services, and MVC architecture to effectively bridge AI frontends with robust enterprise backend systems.
•Leadership & Communication: Exceptional verbal and written communication skills, with a demonstrated ability to actively listen, articulate complex architectural decisions to non-technical stakeholders, and act autonomously.
•Developer Productivity: Experience leveraging AI developer tools (GitHub Copilot, ChatGPT, etc.) to accelerate coding, debugging, and testing.
Preferred Qualifications
•Agentic Frameworks: Experience building autonomous agents, "Agentic UI," or implementations involving Retrieval-Augmented Generation (RAG).
•Legacy to Modernization: Experience migrating or integrating with legacy Java technologies (JSP, Servlets, Hibernate, JPA) while building net-new modern frontends.
•Cloud & DevOps: Experience with Cloud frameworks (Amazon Web Services preferred) and secure, automated CI/CD pipelines (GitHub, Maven, SonarQube, Tenable).
•Data Systems: Experience with relational (SQL) and NoSQL databases, and an understanding of how to align data structures for AI consumption.
•Process Automation: Previous experience transitioning traditional Robotic Process Automation (RPA) into intelligent, AI-driven bot workflows.
Pay Range
$96,800.00 - $145,200.00 Annual
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. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs; some roles may also be eligible for long-term incentive equity awards.
Benefits
Zebra Total Rewards includes healthcare, wellness, inclusion networks, and continued learning and development offerings, along with insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on country. The role also offers hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day.
