Applied AI Architect, G&A

Braze•Chicago, IL

2d•$117,000 - $175,000•Hybrid

About The Position

Braze is building an Applied AI function to change how every team at the company works. This team acts as practitioners partnering directly with business units to make AI the default starting point for work. Within that function, Applied AI Architects, G&A have a 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 them. This role is the broad-coverage, rotational counterpart to the Applied AI Architects, GTM team. The team is product-minded and outcome-driven, treating users and their workflows as product surfaces, building on shared infrastructure, and tuning 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
You are a builder and deep AI practitioner.
You are a researcher and systems thinker.
You are an exceptional coach and communicator.
You think like a product leader.
You understand how business functions run.
You are biased toward action and speed.
You are comfortable with ambiguity.

Nice To Haves

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

Embed with a functional team or cross-functional cohort of approximately 15–25 people, learn their work deeply, and rebuild their highest-leverage workflows around AI alongside them.
Operate as a researcher to find where the real friction and opportunity live.
Operate as a builder to design and ship working agents on shared infrastructure.
Operate as a coach to move a team from its first contact with AI to self-sufficiency, and then rotate to the next function.
Run enablement and discovery across assigned functions, leading enablement sessions and stakeholder research to map intelligence gaps, manual effort, workflow friction, and handoff failures.
Translate findings into a structured, prioritized backlog of problems to solve, including problem statements, impact and feasibility scoring, dependencies, and stakeholders.
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.
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.
Own quality during the engagement, monitoring adoption, diagnosing output failures, and tuning continuously.
Transition the cohort's load-bearing agents into the shared platform layer so they run durably after rotation.
Recognize patterns and scale what works, documenting every tool, playbook, and transformation pattern created.
Share wins visibly within the cohort and with leadership to create pull demand and celebrate successes.
Track individual and cohort progress against the maturity model.
Know when to rotate, which is 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.
Prepare cohorts for an agentic future, including 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®