SW Engineer / AI Enterprise Systems Analyst

Zebra Technologies•Holtsville, IL

4d•Hybrid

About The Position

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.

Requirements

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.
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.
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.
Strong foundation in Java, Spring Boot, RESTful Services, and MVC architecture to effectively bridge AI frontends with robust enterprise backend systems.
Exceptional verbal and written communication skills, with a demonstrated ability to actively listen, articulate complex architectural decisions to non-technical stakeholders, and act autonomously.
Experience leveraging AI developer tools (GitHub Copilot, ChatGPT, etc.) to accelerate coding, debugging, and testing.

Nice To Haves

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

Responsibilities

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.
Architect and develop intelligent bots and re-usable AI modules to ensure seamless alignment across complex databases and existing enterprise applications.
Continually analyze market needs to elevate SaaS and enterprise-wide applications, transitioning legacy processes into automated, predictive and frictionless user journeys.
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.
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.
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.
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.
Provide confident, timely technical leadership during problem resolution and customer escalations, ensuring the highest level of trust and operational excellence.