At a glance
- Experience
- 4+ years experience
- Location
- Chicago · US
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 role
- Stripe is seeking an AI Engineer to be embedded directly within the Solutions Architecture team in Chicago, building production-quality tooling and workflow automation.
- The role operates at the intersection of engineering and business impact, shipping code daily to accelerate Solutions Architect productivity and support strategic customer engagements.
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
Requirements
- 4+ years of experience as an engineer shipping production systems
- Strong backend engineering fundamentals: you can 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
- Strong written and verbal communication skills; you can translate technical decisions for non-technical stakeholders and navigate cross-functional collaboration naturally
Preferred qualifications
- Experience designing systems that non-engineers can build on top of or extend themselves
- Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role
- 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
Skills
- Ruby
- Node.js
- Python
- Next.js
- AWS
- GCP
- LLMs
- AI Agents
- Workflow Automation
- Salesforce
- Gong
