Responsibilities

As an AI Architect, you will accelerate adoption of BrazeAI capabilities and services by working directly with customers at critical moments to identify and prioritize use cases and activate their first AI and agentic use cases.
Since 2025, Braze has launched a suite of Agentic AI products, including Decisioning Studio, Agent Console, Operator, and MCP capabilities. Every Braze customer is on their own AI transformation journey, with many marketers needing additional support to better understand the best application of these capabilities for their unique needs. The AI Architects will meet these customers where they are at to educate and advise so they get the best return on their AI investments with Braze. This includes running workshops, diagnostics, and accelerators to take marketers through ideation, prototyping, and launch of their first BrazeAI agents.
Lead customer engagements focused on driving adoption, for example:
BrazeAI Workshops: marketers leave with one or two agents built or prototyped and a way to measure their impact
AI Accelerators a 2–6 week engagement with a named objective and weekly working sessions, guiding the customer from use case ideation to the launch and initial impact reporting of the new strategy
AI Diagnostics: assess a customer's messaging program, data, and current BrazeAI use, benchmark their maturity, and deliver 3–5 prioritized actions and a read on readiness for our AI Expert Services add-ons
Demonstrate and document best practices, playbooks and AI solutions recipes to existing customers and key partners.
Work with customers to identify and prioritize use cases that will drive their business goals
Identify technical hurdles for customers looking to adopt BrazeAI, resolve organizational friction to enable decision making to drive adoption
Recommend Professional Services partners for additional or extended support needs, and help transition context and diagnostics to other services teams
Provide thought leadership - internally and externally - on how AI enables marketing teams drive better business outcomes
Collaborate cross-functionally (e.g., account management, customer success, professional services, AI success, product, marketing, learning and communities) to continuously improve Braze's products and externally facing materials

Qualification

Collaborative and trustedAn engaging facilitatorExperiencedBraze-savvyValue-drivenMar-tech savvyStructured and organizedA problem solverHands-on time with Agent Console

Required

Collaborative and trusted: You are experienced working directly with enterprise customers and develop strong, consultative relationships. You lead with curiosity and have deep empathy for customers. You have a demonstrated track record of persuading others and influencing without owning the account
An engaging facilitator: You have had experience running workshops, hackathons, enablement programs, or embedded consulting engagements. You are an enthusiastic presenter who can run a room of marketers with very different skill levels and have them building within the hour. You’re able to adapt your message to marketers vs executives on their road to AI adoption
Experienced: You have 4+ years in a customer-facing technical role such as solutions consulting, sales engineering, technical account management, customer success, or marketing technology consulting
Braze-savvy: You have worked with Braze enough to look at a Canvas, a Catalog, or a whole strategy and be able to determine opportunities with BrazeAI that would improve business outcomes
Intellectual curiosity and fluency in Applied AI: You understand how generative AI and agents apply to marketing, including prompt design, guardrails, evaluation, testing and optimization. You have experience with MCP, LLM tooling, or building skills and templates for AI assistants
Value-driven: You are able to build business cases and/or measure ROI on AI investments particularly for a credit consumption model.
Mar-tech savvy: You understand the marketing technology ecosystem and can develop a perspective on the most effective ways to structure a customer's solution, with domain knowledge in two or more of: AI and LLMs, SaaS, marketing automation, marketing analytics, APIs, SQL and Liquid, or mobile
Structured and organized: You can take initiative to structure a working plan, clearly define objectives, prioritize activities across multiple engagements at one time and you’re comfortable building process while doing the work
A problem solver: You are able to break a complex problem into components and collaborate with the right people to efficiently get to a solution

Preferred

Hands-on time with Agent Console, Operator, Decisioning Studio, or Content Optimizer;
Depth in a vertical we sell into heavily, such as retail and eCommerce, QSR, gaming, media, or financial services, to help identify use cases
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $103,000 and $147,000/year, with an expected On Target Earnings (OTE) between $121,000 and $173,000/year (including bonus or commission).Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

AI Architect at Braze · LumiJobs

AI Architect

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Braze

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