AI Engineer for Solutions Architecture Tooling

Stripe; Toronto; On-site; CAD 120,000 - 190,000; Full time

Job summary

Stripe is seeking an AI Engineer to work embedded with the Solutions Architecture team in Toronto to build production-quality tooling, automate workflows, and accelerate strategic customer engagements.

You will ship code daily, translate business needs into technical deliverables, and scale successful prototypes across the org while collaborating with Product and Engineering to improve SA productivity.

Qualifications

• 4+ years shipping production systems.
• Backend engineering fundamentals: debugging, tracing, data flows.
• Experience building 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.
• Comfort with ambiguity—you can take a loosely-defined business problem, scope the engineering work, and ship iteratively without waiting for a perfect spec

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.

Skills

Backend engineering

AI agents

LLM tools

Workflow automation

AWS

GCP

Ruby

Node.js

Python

Next.js

DevOps

Cross-functional collaboration

Communication

Ambiguity handling

Tools

AWS

GCP

Job description

Stripe is seeking an AI Engineer to work embedded with the Solutions Architecture team in Toronto to build production-quality tooling, automate workflows, and accelerate strategic customer engagements.

You will ship code daily, translate business needs into technical deliverables, and scale successful prototypes across the org while collaborating with Product and Engineering to improve SA productivity.