SW Engineer / AI Enterprise Systems Analyst

Senior Software Engineer / AI Enterprise Systems Analyst 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. 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, 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. Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at View email address on click.appcast.io. Know Your Rights: Conozca sus Derechos: 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 View email address on click.appcast.io. 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. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. 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.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy. Zebra