Principal Applications Engineer

About the role

What Makes a Honda, Is Who Makes a Honda Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.” We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda’s, we want you to join our team to Bring the Future! Job Purpose The Applications Principal Engineer serves as the technical leader for enterprise integration, interface architecture, and digital connectivity across the organization. This role drives adoption of standards, reference architectures, and best practices for APIs, event-driven systems, containerization, security, and AI integration. Working across product, architecture, infrastructure, and security teams, the engineer ensures scalable, secure, and efficient data movement while reducing technical complexity and system silos. The position also mentors teams, guides solution design, and translates enterprise standards into practical frameworks, templates, and reusable solutions.

Responsibilities

• Lead enterprise interface strategy and digital integration standards, including APIs, event-driven architectures, data flows, and AI-enabled solutions.
• Drive adoption of container platforms such as OpenShift, CI/CD practices, and secure deployment patterns.
• Define and implement security standards including authentication, authorization, data protection, and AI governance.
• Establish scalable Artificial Intelligence (AI) integration approaches including LLMs, agent orchestration, MCP, RAG, and model-serving pipelines.
• Guide streaming and event-driven data architectures, optimize performance and cost, and ensure seamless enterprise-to-plant connectivity.
• Partner with architecture, security, infrastructure, vendors, and product teams to align solutions with business and technology objectives.

Qualifications

Minimum educational qualifications: Must have a college level Bachelor’s degree in Computer Science / Computer Engineering / Data Science / Artificial Intelligence / Information Technology or a similar STEM