SW Engineer / AI Enterprise Systems Analyst

Zebra Technologies•Holtsville, NY

3d•$96,800 - $145,200•Hybrid

About The Position

Zebra is seeking a Senior Software Engineer / AI Enterprise Systems Analyst to help advance AI, SDLC, licensing, and Web Apps solutions and create a more intelligent, frictionless customer experience. The role focuses on accelerating software development with AI agents, integrating large language models (LLMs), developing agentic interfaces, creating intelligent bots for database alignment, and building modular, scalable UI components. The position serves as a technical leader and primary communicator, connecting AI capabilities with business strategy. It works closely with product development and order management communities to provide functional leadership and guide global teams through complex integrations. The role also involves mentoring engineering teams and shaping AI-assisted workflows and customer experiences. Zebra describes its Total Rewards program as including healthcare, wellness, inclusion networks, continued learning and development, community service days, traditional insurance, compensation, parental leave, an employee assistance program, and paid time off, depending on the country of employment. The company also offers hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day. This position has a stated annual pay range of $96,800 to $145,200 and a target annual cash incentive equal to 10% of base pay.

Requirements

Bachelor of Science degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience; the posting specifies 3+ years of practical experience as an equivalent pathway.
At least 5 years of experience as a software engineer or developer in an Agile environment, with a trajectory into technical leadership and modern application architecture.
1–2 years of AI development experience with LLMs and AI code-centric models such as Cursor, Claude, or GitHub Copilot.
Hands-on experience integrating LLMs such as OpenAI, Gemini, or Claude through REST APIs; familiarity with AI orchestration frameworks such as LangChain or LlamaIndex and with prompt engineering.
Deep expertise in React JS, TypeScript, and modern CSS/HTML for dynamic, state-heavy, responsive web applications.
Strong foundation in Java, Spring Boot, RESTful services, and MVC architecture.
Exceptional verbal and written communication skills, including the ability to listen actively and explain complex architectural decisions to non-technical stakeholders; ability to act autonomously.
Experience using AI developer tools such as GitHub Copilot and ChatGPT to accelerate coding, debugging, and testing.

Nice To Haves

Experience building autonomous agents, Agentic UI, or Retrieval-Augmented Generation (RAG) implementations.
Experience migrating or integrating legacy Java technologies such as JSP, Servlets, Hibernate, and JPA while building modern frontends.
Experience with cloud frameworks, preferably Amazon Web Services, and secure automated CI/CD pipelines using tools such as GitHub, Maven, SonarQube, and Tenable.
Experience with relational SQL and NoSQL databases and understanding of how to align data structures for AI consumption.
Experience transitioning traditional Robotic Process Automation (RPA) to intelligent, AI-driven bot workflows.

Responsibilities

Lead the design, architecture, and development of interactive, AI-first frontend systems and custom interfaces using modern frameworks and LLM capabilities to accelerate the software development lifecycle and reduce time to market.
Architect and develop intelligent bots and reusable AI modules to align complex databases and existing enterprise applications.
Serve as the technical anchor for an Agile Scrum team; lead architectural design sessions, establish coding standards, and implement AI-assisted developer workflows.
Translate between engineering and business stakeholders by analyzing, evaluating, and communicating how modern AI tools can address business problems and improve usability.
Provide timely technical leadership during problem resolution and customer escalations.