Principal MarTech AI Engineer

Palo Alto Networks•Santa Clara, CA

4d•Onsite

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Impact Palo Alto Networks is building AI-driven marketing technology platforms that enable intelligent automation, scalable workflows, and modern go-to-market execution. As a Principal Engineer in Marketing Technology, you will be a lead-level individual contributor responsible for designing and delivering key platform capabilities across AI agents, workflow orchestration, and full-stack systems. In this role, you will work closely with product managers, engineers, and cross-functional partners to translate GTM requirements into well-designed technical solutions. You will lead design and implementation for complex initiatives, influence technical direction within and across teams, and remain deeply hands-on with systems that are critical to marketing and revenue operations. This role is intended for a senior technologist who combines strong full-stack engineering skills with practical experience building AI-enabled systems in production.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
10 or more years of experience in software engineering, with strong full-stack development experience
Demonstrated experience building AI agent–based systems in production, including orchestration of LLMs, tools, and workflows
Hands-on experience integrating LLMs in production systems, including prompt design, tool calling, and evaluation approaches
Strong backend engineering skills using languages such as Java, Kotlin, Python, or Node.js
Solid frontend experience with modern frameworks such as React or similar
Experience building and operating distributed systems on cloud platforms such as AWS, Azure, or GCP
Familiarity with event-driven architectures, asynchronous processing, and data streaming patterns
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Ability to lead technical initiatives and influence peers through strong engineering judgment and clear communication

Nice To Haves

Experience applying AI systems to marketing, customer engagement, or GTM workflows
Exposure to vector databases, embeddings, retrieval-augmented generation, or feature stores
Understanding of data governance, privacy, and compliance considerations in enterprise environments
Experience working in agile development environments
A track record of improving system reliability, scalability, or developer productivity through thoughtful design

Responsibilities

Design and implement AI-driven systems, including agent-based architectures and workflow orchestration that automate and optimize marketing and GTM processes
Lead the end-to-end delivery of complex MarTech initiatives, from technical design through implementation and operational readiness
Build and evolve intelligent workflows that combine LLMs, rules, tools, and data signals to support personalization, lifecycle marketing, and operational automation
Own full-stack solutions spanning user interfaces, APIs, backend services, data pipelines, and AI integration layers
Partner closely with product managers and stakeholders to translate business needs into scalable technical designs
Influence architecture and implementation decisions within and across teams by clearly articulating tradeoffs and design rationale
Promote strong engineering practices, including code quality, testing, observability, and system reliability
Mentor senior and mid-level engineers, helping raise the bar on design quality and end-to-end ownership
Identify opportunities to reduce manual effort, simplify integrations, and replace brittle workflows with durable platform capabilities
Stay current on advances in AI agents, orchestration patterns, and full-stack technologies, applying them thoughtfully where they add clear value