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 org adopts as default.
You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most 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 (LLMs, agents, workflow automation) where they provide genuine leverage—not for novelty, but 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