AI Architect

Braze•Chicago, IL
•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 activate their first AI and agentic use cases. The role educates and advises marketers at different stages of their AI transformation, helping them get the best return on their investments in BrazeAI products such as Decisioning Studio, Agent Console, Operator, and MCP capabilities. The position leads workshops, diagnostics, and accelerators that guide customers through ideation, prototyping, and launching BrazeAI agents. It combines deep knowledge of Braze’s core platform—including Canvas, Catalogs, Content Blocks, Liquid, and data ingestion—with an understanding of marketing strategies and effective AI applications. The AI Architect builds trusted relationships with technical and non-technical stakeholders, supports customer business goals, and collaborates across Braze teams and partners. The role is based in New York, supports the AMER region, and may require travel 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 to marketers with varying skill levels and adapt communications for marketers and executives.
  • Working knowledge of Braze sufficient to assess Canvas, Catalog, or broader strategies and identify opportunities for BrazeAI to improve business outcomes.
  • 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.
  • Understanding of the marketing technology ecosystem and ability to recommend effective customer solution structures, with domain knowledge in two or more of 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, take initiative, and build processes while working.
  • Ability to break complex problems into components and collaborate with appropriate stakeholders to reach solutions.
  • 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.
  • Deep expertise in a major Braze industry vertical, such as retail and eCommerce, QSR, gaming, media, or financial services.

Responsibilities

  • Lead customer engagements focused on driving adoption of BrazeAI.
  • Run BrazeAI workshops that help marketers build or prototype one or two agents and establish ways to measure their impact.
  • Deliver 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 to assess customers’ messaging programs, data, and current BrazeAI use; benchmark maturity; and provide 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.
  • Identify and prioritize customer use cases that support 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 diagnostic findings 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 community 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 through an annual company-wide Volunteer Week and donation matching.
  • Employee Resource Groups.
  • Hybrid ways of working.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service