AI Engineer

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

About The Team

The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability.

We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day.

Responsibilities

• Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables
• Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage for measurable productivity improvement
• Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock
• Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions
• Identify patterns across SA workflows and proactively build solutions that address recurring friction
• Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements
• Document tools, architectures, and usage patterns so others can adopt and extend what you've built
• Debug, extend, and maintain backend systems across a variety of codebases and infrastructure

Minimum Requirements

• 4+ years of experience as an engineer shipping production systems
• Strong backend engineering fundamentals: ability to debug a failing system, trace issues across services, and reason about data flows
• Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering
• Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment
• Proficiency in at least two of: Ruby, Node.js, Python, or Next.js
• Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps
• Experience building internal tools, developer platforms, or workflow automation
• Demonstrated ability to work across multiple codebases and technology stacks simultaneously
• Hands-on experience using AI/LLM tools in your engineering workflow with ability to reason and debug independently
• Strong written and verbal communication skills
• Comfort with ambiguity and scoping engineering work iteratively

Preferred Qualifications

• Experience designing systems that non-engineers can build on top of or extend themselves (e.g., platforms, low-code frameworks, template systems)
• Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role—or a product engineering role where you worked closely with customers or go-to-market teams
• Familiarity with Stripe's products, APIs, or the payments/fintech domain
• Experience integrating with third-party platforms (Salesforce, Gong, etc.)
• Track record of building tools or systems that were adopted beyond your immediate team
• Background in consulting, professional services, or other roles that blend technical depth with business context