AI Engineer

Details

Who We Are

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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

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 organization more effective—turning individual ingenuity into organization-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 organization—building production-quality tooling, supporting strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day.

What You'll Do

As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the organization adopts as default.

You'll ship code daily. You'll discover where Solutions Architects lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the organization. When strategic customer engagements need custom technical assets, you'll build those too.

This is a role for someone who wants to work at the intersection of engineering and business impact—close to customers, close to revenue, and building for people you can see using your 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, including LLMs, agents, and workflow automation, where they provide genuine leverage and 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 and pipeline management, and product interlock.
• Take high-potential tools and workflows built by Solutions Architects 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, proof-of-concept applications, and technical assets for Stripe's 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, including the ability to debug failing systems, 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, including AWS and GCP, 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 and LLM tools in your engineering workflow; you are fluent with AI-assisted development but can reason through problems and debug independently.
• Strong written and verbal communication skills, including the ability to translate technical decisions for non-technical stakeholders and navigate cross-functional collaboration.
• Comfort with ambiguity and the ability to take a loosely defined business problem, scope the engineering work, and ship iteratively without waiting for a perfect specification.

Preferred Qualifications

• Experience designing systems that non-engineers can build on top of or extend themselves, such as platforms, low-code frameworks, or template systems.
• Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role, or a product engineering role involving close collaboration with customers or go-to-market teams.
• Familiarity with Stripe's products, APIs, or the payments and fintech domain.
• Experience integrating with third-party platforms such as Salesforce and Gong.
• A track record of building tools or systems adopted beyond your immediate team.
• A background in consulting, professional services, or other roles that blend technical depth with business context.

Who You Are

Beyond the technical requirements, we're looking for a specific kind of engineer:

• You want to be close to the business and are energized by seeing your work directly impact how a sales team wins a deal or how a customer succeeds.
• You're a pragmatic builder who ships working solutions quickly, iterates based on real usage, and knows when "good enough now" beats "perfect later."
• You're a software engineer by practice. You can architect systems, debug production issues, write clean code, and reason about tradeoffs. AI is a tool in your belt, not a substitute for engineering judgment.
• You're a pattern recognizer. When you build something that works for one person, you immediately see how it generalizes. You think in reusable systems, not one-off scripts.
• You thrive without a traditional product team structure. You identify the highest-leverage problem, scope the work, and ship it without relying on PRDs, a dedicated Product Manager, or sprint ceremonies.
• You're comfortable trading on-call rotations and rigid processes for autonomy and impact.
• You're a strong communicator who can partner with Solutions Architects, understand their workflows deeply enough to build great tools, and explain your technical choices to leadership.