Applied AI Architect, G&A
About The Position
Braze is building an Applied AI function to change how every team at the company works. Not as a center of excellence that publishes best practices from a distance, but as a team of practitioners partnering directly with business units to make AI the default starting point for work. Within that function, Applied AI Architects, G&A carry the horizontal mandate. They rotate across the company's corporate functions — Finance, People, Legal, Operations, IT and Business Systems, and beyond — embedding with one function at a time to find the highest-value workflows, rebuild them around AI alongside the people who own them, and leave each team able to keep going without us. A sibling team, Applied AI Architects, GTM, applies the same craft permanently attached to specific stages of the revenue lifecycle; this role is the broad-coverage, rotational counterpart. We are product-minded and outcome-driven. We treat the people we serve as users and their workflows as product surfaces, we build on shared infrastructure, and we tune what we ship based on adoption, output quality, and business impact. Braze employees are already building agents that compress multi-day workflows into minutes and tools that transform processes like research, reporting, and operational escalations. This team exists to accelerate that impact and systematically scale it across Braze.
Requirements
- 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
- Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot), with concrete examples you can speak to in depth
- Experience running discovery or stakeholder research and translating it into a prioritized plan of work — problem statements, impact and feasibility assessment, and clear next steps
- Technical fluency sufficient to engage credibly on integration architecture, evaluate agent outputs at the system level, and contribute to prompt design, retrieval logic, and data workflows (e.g., Python, APIs, integrations) without always requiring translation from an engineering counterpart
- Track record of coaching, teaching, or enabling others, with evidence that people you've worked with actually changed how they work
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your approach to different learners
- Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting 15–25 people at varying stages of their AI journey)
- Product Management background or experience, with demonstrated ability to ship things people actually use
- Experience in finance, people/HR, legal, operations, or a closely adjacent business function
- Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Cursor, custom agent frameworks, API integrations, workflow automation tools)
- Experience with change management, organizational transformation, or large-scale enablement programs
- Familiarity with enterprise SaaS technology and data stacks (e.g., Salesforce, Slack, and Snowflake)
- Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team
- Background in consulting, solutions engineering, technical program management, or other roles that combine technical depth with business context
Responsibilities
- 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.
- Know when to rotate. An engagement completes when a defined share of the cohort can build and modify their own tools and its load-bearing agents have been productized into the platform layer. Then you move to the next function.
- Prepare cohorts for an agentic future. Not just prompt writing, but designing, building, and overseeing autonomous multi-agent workflows that handle real business processes.
Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
