Principal System Architecture

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role: The Senior Principal, System Architecture reports to the VP Engineering, Converged AdTech & Linear Systems and leads the architecture for WBD’s most critical advertising technology platforms. This role owns and drives the systems automation architecture of core adtech platforms to improve scalability, reliability, performance, and cost efficiency across the ecosystem. This role is accountable for the architecture, scalability, and operational excellence of systems spanning converged planning, linear and digital advertising, scheduling, and affiliate distribution. By architecting the platform rationalization, cloud migration, and next-generation AI/ML-enabled capabilities, the Principal ensures WBD’s ad-tech stack is positioned to maximize monetization, enable automation, and deliver premium advertising experiences across all platforms.

Your Role Accountabilities:

AI‑Driven & Agentic Systems Automation

Define and drive the long-term architecture for AI-powered and agentic systems across large-scale AdTech platforms. • Architect autonomous and human-in-the-loop systems for deployment orchestration, infrastructure lifecycle, and incident response • Establish guardrails for safe, observable, and governed AI adoption (reliability, explainability, failure handling) • Integrate AI capabilities into core platform layers (decisioning, optimization, experimentation, operations) • Drive standardization of agentic workflows across engineering and operations Expectation: redefines how systems are built and operated using AI and not just adds features.

Platform Architecture & System Engineering

Own the design and evolution of foundational platforms with strong system engineering principles. • Define architecture for core platforms (AdOps automation, optimization, identity, data, measurement, activation) with clear boundaries and contracts • Apply system engineering rigor across reliability, scalability, fault isolation, and performance under extreme load • Establish patterns for multi-region, high-availability, and disaster-resilient systems • Drive platform standardization to reduce fragmentation and improve developer velocity Expectation: builds platforms that are resilient, composable, and operable at scale.