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Verizon is hiring a Principal Automation Engineer focused on AI and agentic workflows. This hands-on role develops and ships production software, creates scalable AI toolchains, and builds data plumbing across enterprise systems for rapid value delivery.
You will work with cross-functional teams to demonstrate and iterate features weekly, delivering measurable business impact and driving innovation in security software.
Job ID: R-1101151
Apply prior to the end date: October 2, 2026
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you’ll be doing...
At Verizon Corporate Security, we are driving innovation and completely transforming how we build software to protect the world's most reliable network. We’ve proven that by pairing precise business requirements with AI-assisted development, we can compress delivery timelines by an order of magnitude—delivering the promise of the digital world faster than ever. To scale this capability across our organization, we are bringing on a Principal Automation Engineer: AI & Agentic Workflows.
This is not a role for someone who wants to manage from the sidelines. This is an opportunity for a highly autonomous, hands‑on builder to join the V Team. If you have a "founding engineer" mindset, you will thrive here—turning written concepts into working, high‑impact production software that unlocks immediate business value and helps us move the world forward.
Build applications from specifications: Take completed business requirements specifications and deliver working software against them as a hands‑on individual contributor (write code, configure platforms, wire data, and demo results).
Build and operate the AI toolchain: Own internal tooling making the spec‑to‑build loop repeatable, including structured intake requirements‑interview agents, reusable prompt/context/evaluation scaffolding, and build telemetry instrumentation.
Scale Automation Through Agentic Workflows: Design, build, and deploy agents on the Kairos platform, leveraging the enterprise ecosystem to ensure consistency, reusability, rapid iteration, and maximum speed‑to‑value.
Build necessary data plumbing: Integrate against imperfect upstream systems (SQL Server, BigQuery/EDW, GCP services, Looker, vendor APIs), managing schema drift, partial coverage, and inconsistent definitions while ensuring proper data lineage and governance.
Prove it works before it is trusted: Build evaluation harnesses alongside features (shadow‑mode testing, precision/recall measurement, override‑feedback loops, human‑in‑the‑loop approval paths).
Demo, ship, and iterate weekly: Ship high‑value features to staging weekly and demo to stakeholders on a standing cadence while navigating operational and policy complexity.
What we’re looking for...