Senior Agentic AI SW Engineer

Remote Work:
Hybrid

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 a 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 a 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.

Senior Agentic AI SW Engineer
, you will be the founding member of a new initiative to revolutionize our engineering organization by leveraging autonomous and semi‑autonomous AI agents. Your mission is to design, build, and deploy intelligent systems that will redefine productivity, accelerate new product development, and serve as the foundation for our next generation of AI‑enabled products.

You will design, orchestrate, and product ionise a system of cooperating GenAI agents that accelerates our engineering – planning, development, testing, quality, and release – while meeting our reliability, safety, and cost targets.

You will be a hands‑on technical leader, architecting solutions that range from expert systems that augment our engineers' abilities to fully autonomous multi‑agent teams that can deliver entire software projects. This is a unique opportunity to shape the future of AI at Zebra and drive a strategic transformation with executive visibility.

This role involves integrating advanced AI technologies into scalable, production‑grade software systems, blending full stack development with the creation of intelligent, autonomous AI agents. The focus is on enhancing business processes and product capabilities by applying rigorous software engineering principles, such as system reliability, maintainability, and performance optimisation. The position requires transforming AI innovations into practical solutions, ensuring seamless integration into existing architectures while advancing the organisation’s AI‑driven capabilities.

This role is a hybrid position and requires a minimum of three days per week in the office. Your work location can be either Holtsville, NY or Mississauga, ON. Zebra reserves the right to modify your work location based on business need.

• Architect & Build Foundational Agentic Systems:
  Lead the design and implementation of scalable, production‑grade AI agent systems. This includes developing everything from single‑purpose agents to complex, multi‑agent collaborative frameworks.
• Develop the "Digital Veteran" Agent:
  Realise the vision of an AI agent trained on the collective wisdom of our most experienced engineers. This agent will be integrated into our New Product Development playbooks to review designs, check for compliance, and provide expert‑level feedback to our hardware and software engineers.
• Orchestrate AI‑Enabled Project Teams:
  Spearhead the development of a multi‑agent system where specialised agents (e.g., code developer, tester, QA, release manager) collaborate autonomously to deliver small‑scale software products.
• Collaborate with stakeholders to define requirements for complex AI and software systems, prioritising features that address key business needs.
• Participate in design and architecture discussion in building scalable and maintainable software solutions that integrate AI technologies such as machine learning models, natural language processing (NLP), or computer vision.
• Build, test, deploy, and maintain software and AI systems, ensuring high performance, security, and scalability.
• Own a module/function development and deployment of intelligent agent systems, including single‑purpose and multi‑agent frameworks.
• Implement AI model pipelines, integrating data preprocessing, training, and inference into software systems.
• Conduct rigorous testing…