Applied AI Architect, G&ANew$145K–$217K

The opportunity

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

What you'll do

  • Run enablement and discovery across your assigned functions. Lead enablement: sessions and stakeholder research across the teams you cover (e.g., Finance, People, Legal, Operations) to map where intelligence gaps, manual effort, workflow friction, and handoff failures are most acute. Translate findings into a structured, prioritized backlog of problems to solve — problem statements, impact and feasibility scoring, dependencies, and stakeholders — and use it to decide where to dig in and rebuild process first.

  • Build alongside the team. Create custom tools, agents, automations, and: prompts tailored to the highest-value workflows, contributing directly to system architecture, retrieval logic, and output calibration on top of shared infrastructure. Ship working solutions on real deliverables, not theoretical demos.

  • Coach toward self-sufficiency. Move people through a progressive maturity: model: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency. Meet people where they are, and teach them to build and iterate on their own tools over time. The goal is independence, not dependence on you.

  • Own quality during the engagement, then hand the durable pieces up. Monitor: adoption, diagnose output failures, and tune continuously while you're embedded. As the engagement matures, transition the cohort's load-bearing agents into the shared platform layer so they run durably after you rotate out — you operate what you ship until it's productized, not before.

  • Recognize patterns and scale what works. A tool built for one team should: become reusable infrastructure for the next. Document every tool, playbook, and transformation pattern you create so the full team can compound each other's work.

  • Build momentum. Share wins visibly within your cohort and with leadership to: create pull demand and celebrate what's working. Track individual and cohort progress against the maturity model.

What they're looking for

  • You are a builder and deep AI practitioner. You build agents, automations,: and tools fluently. You don't just know what AI can do in theory; you've built things that changed how real work gets done, and you can build in real time alongside the people you support. You can scope and prioritize solutions, contribute to system architecture and retrieval design, evaluate outputs for quality, and diagnose why something missed at the system level rather than just the content level.
  • You are a researcher and systems thinker. You can walk into a function you: don't know, run the interviews and sessions that surface where the real friction is, and turn what you hear into a prioritized, defensible backlog. When you build something that works for one person or team, you immediately see how it applies to ten others, and you think in reusable components and scalable playbooks.
  • You are an exceptional coach and communicator. You can meet people wherever: they are, from skeptical to enthusiastic. You create desire for progress and adapt your approach to each person. You know that adoption is a human problem, not a technology problem.
  • You think like a product leader. When you identify a gap, you scope the: problem, define the user, map the workflow, and build the solution. You treat the people you serve as your users and their workflows as your product surface, and you know the difference between shipping something and shipping something people actually use.
  • You understand how business functions run. You've worked in or closely with: the kinds of teams you'll be embedded in (finance, people, legal, operations). You know that understanding someone's work is a prerequisite to transforming it.
  • You are biased toward action and speed. You'd rather show someone a working: proof-of-concept on their actual deliverable today than present a polished deck about what's theoretically possible next quarter.
  • You are comfortable with ambiguity. This is a new team building a new: operating model at Braze. The playbook will be rewritten as we learn, and you thrive in that environment.
  • + years of professional experience in a role requiring analytical thinking,: problem-solving, and cross-functional collaboration