AI Architect

Braze•Austin, TX

1d•Hybrid

About The Position

As an AI Architect at Braze, you will accelerate customer adoption of BrazeAI capabilities and services. You will work directly with customers at key points in their AI transformation journeys to identify and prioritize use cases, educate and advise marketers, and help them activate their first AI and agentic use cases. Braze’s agentic AI products include Decisioning Studio, Agent Console, Operator, and MCP capabilities. The role combines consultative customer engagement with deep knowledge of Braze’s core platform—including Canvas, Catalogs, Content Blocks, Liquid, and data ingestion—and an understanding of marketing strategies and effective applications of BrazeAI. You will lead workshops, diagnostics, and accelerators that guide customers from ideation through prototyping and launch, while building trusted relationships with technical and non-technical stakeholders. The position supports the AMER region, is based in New York, and may require travel of up to 25% at peak times.

Requirements

At least 4 years of experience in a customer-facing technical role, such as solutions consulting, sales engineering, technical account management, customer success, or marketing technology consulting.
Experience working directly with enterprise customers and developing strong consultative relationships.
Demonstrated ability to persuade and influence others without owning the account.
Experience facilitating workshops, hackathons, enablement programs, or embedded consulting engagements.
Ability to present and facilitate for marketers with varying skill levels, adapt messaging for marketers and executives, and guide participants toward building solutions.
Working knowledge of Braze sufficient to assess Canvases, Catalogs, and customer strategies for opportunities to improve business outcomes with BrazeAI.
Understanding of how generative AI and agents apply to marketing, including prompt design, guardrails, evaluation, testing, and optimization.
Ability to build business cases and/or measure ROI on AI investments, particularly in a credit-consumption model.
Marketing technology ecosystem knowledge and domain knowledge in at least two of the following: AI and LLMs, SaaS, marketing automation, marketing analytics, APIs, SQL and Liquid, or mobile.
Ability to structure work plans, define objectives, prioritize activities across multiple engagements, take initiative, and build processes while working.
Ability to break complex problems into components and collaborate with appropriate people to reach solutions efficiently.
Strong written and verbal English-language skills.
Willingness to travel, up to 25% at peak times.

Nice To Haves

Hands-on experience with Agent Console, Operator, Decisioning Studio, or Content Optimizer.
Depth of experience in a major Braze sales vertical, such as retail and eCommerce, QSR, gaming, media, or financial services.
Experience with MCP, LLM tooling, or building skills and templates for AI assistants.

Responsibilities

Lead customer engagements designed to drive adoption of BrazeAI.
Run BrazeAI workshops that help marketers build or prototype one or two agents and identify ways to measure their impact.
Lead 2–6 week AI Accelerator engagements with defined objectives and weekly working sessions, guiding customers from use-case ideation through launch and initial impact reporting.
Conduct AI Diagnostics of customers’ messaging programs, data, and current BrazeAI use; benchmark maturity and deliver 3–5 prioritized actions and an assessment of readiness for AI Expert Services add-ons.
Demonstrate and document best practices, playbooks, and AI solution recipes for existing customers and key partners.
Work with customers to identify and prioritize use cases that support their business goals.
Identify technical hurdles to BrazeAI adoption and resolve organizational friction to enable decisions and drive adoption.
Recommend Professional Services partners when customers need additional or extended support, and transition context and diagnostics to other services teams.
Provide internal and external thought leadership on how AI can help marketing teams achieve better business outcomes.
Collaborate with account management, customer success, professional services, AI success, product, marketing, learning, and communities teams to improve Braze products and external materials.

Benefits

Competitive compensation that may include equity.
Retirement plans and Employee Stock Purchase Plan.
Flexible paid time off.
Medical, dental, vision, life, and disability benefit plans.
Fertility benefits and equal paid parental leave.
Professional development through formal career pathing, learning platforms, and a yearly learning stipend.
Curated in-office employee experience.
Opportunities to give back, including an annual company-wide Volunteer Week and donation matching.
Employee Resource Groups.
Collaborative, transparent, and fun culture.