AI Architect

Braze•New York, NY
•$114,000 - $163,200•Hybrid

About The Position

The AI Architect accelerates adoption of BrazeAI capabilities and services by working directly with customers to identify and prioritize use cases and help them activate their first AI and agentic use cases. The role educates and advises marketers at different stages of AI transformation, helping them get the best return on their BrazeAI investments through workshops, diagnostics, and accelerators that guide customers from ideation and prototyping to launch. This is a consultative, customer-facing role that builds trusted relationships with technical and non-technical stakeholders. It combines deep knowledge of Braze core capabilities—including Canvas, Catalogs, Content Blocks, Liquid, and data ingestion—with understanding of marketing strategy and effective applications of BrazeAI. The AI Architect also contributes thought leadership and collaborates across teams to improve products and customer-facing materials. The role supports the AMER region, is based in New York, and requires 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 engagingly and adapt communication to marketers and executives with varied skill levels and stages of AI adoption.
  • Working knowledge of Braze sufficient to assess a Canvas, Catalog, or broader customer strategy and identify BrazeAI opportunities.
  • Understanding of generative AI and agents in marketing, including prompt design, guardrails, evaluation, testing, and optimization.
  • Experience with MCP, LLM tooling, or building skills and templates for AI assistants.
  • Ability to build business cases and/or measure ROI on AI investments, particularly for a credit consumption model.
  • Understanding of the marketing technology ecosystem and the ability to develop recommendations for structuring customer solutions.
  • Domain knowledge in two or more of the following: AI and LLMs, SaaS, marketing automation, marketing analytics, APIs, SQL and Liquid, or mobile.
  • Ability to structure a working plan, define objectives, prioritize activities across multiple engagements, and build processes while working.
  • Ability to break complex problems into components and collaborate with appropriate stakeholders to reach solutions efficiently.
  • Strong written and verbal English-language skills.

Nice To Haves

  • Hands-on experience with Agent Console, Operator, Decisioning Studio, or Content Optimizer.
  • Deep knowledge of a major Braze vertical, such as retail and eCommerce, QSR, gaming, media, or financial services.

Responsibilities

  • Lead customer engagements that drive BrazeAI adoption, including workshops, accelerators, and diagnostics.
  • Run BrazeAI workshops that enable marketers to build or prototype one or two agents and define ways to measure their impact.
  • Lead AI accelerators, typically 2–6 weeks long, with a defined objective and weekly working sessions, guiding customers from use-case ideation through launch and initial impact reporting.
  • Conduct AI diagnostics by assessing customer 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 that impedes decision-making and adoption.
  • Recommend Professional Services partners for 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 continually improve Braze products and external materials.

Benefits

  • Competitive compensation that may include equity.
  • Retirement and Employee Stock Purchase Plans.
  • Flexible paid time off.
  • Medical, dental, vision, life, and disability benefit plans.
  • Family services, including 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 designed to foster community, team connections, and innovation.
  • Opportunities to give back through an annual company-wide Volunteer Week and donation matching.
  • Employee Resource Groups.
  • Collaborative, transparent, and fun culture recognized as a Great Place to Work.
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