• AI Platform Foundations is a newly formed team within Platform Engineering on a mission to make AI a reliable, governed, and productivity-multiplying force across Wealthsimple’s engineering organization
• We build and maintain the shared AI tooling that hundreds of developers depend on to ship faster and with more confidence. We also build the guardrails and policy controls that keep teams on the golden path, so innovation happens without introducing risk
• As a founding member of this team, you’ll be shaping what AI-assisted engineering looks like at Wealthsimple
• You’ll work across a polyglot environment of Ruby on Rails, Python, TypeScript, and Java/Kotlin, partnering closely with teams across Platform Engineering and the broader organization to build tooling that is adopted broadly, trusted deeply, and measured rigorously. Your work will directly influence how Wealthsimple’s engineers write code, review changes, and ship to production
• Build the shared AI tooling platform from the ground up. As a founding team member, you’ll design and implement the shared infrastructure that brings AI-assisted development to every team at Wealthsimple. This includes consolidating one-off and custom LLM tools into a governed, reusable platform that engineering teams can adopt with confidence
• Accelerate developer productivity through AI-powered automation. Build tooling that meaningfully reduces friction in the development lifecycle. From AI-assisted code review and automated PR approvals to intelligent deployment checks, you’ll create systems that let developers focus on what matters most
• Design and implement guardrails that keep developers on the golden path. Build policy controls, verification layers, and governance tooling that ensure AI interactions across the organization are safe, compliant, and aligned with Wealthsimple’s standards. You’ll own the systems that catch issues before they reach production
• Drive measurable adoption across a polyglot engineering organization. Work across teams using Ruby on Rails, Python, TypeScript, and Java/Kotlin to ensure the platform meets developers where they are. Track adoption, satisfaction, and impact rigorously, using data to guide what to build next
• Define the standards and practices for AI-assisted engineering at Wealthsimple. As an early builder on this team, you’ll have real influence over how we approach LLM integrations, cost governance, and tooling strategy. You’ll establish patterns others build on
• Champion engineering excellence and mentorship. Partner with teams across the organization, share your expertise through documentation and code reviews, and help grow the next generation of developers working in this space

Benefits

• Retirement savings matching plan through Wealthsimple Work
• Company equity for full-time employees
• Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
• Paid parental leave (6 months topped up to 100% of salary)
• 20 vacation days per year
• 90 Days Away program
• Top-tier health benefits
• Life & disability insurance
• Generous sick and mental health days
• Employee resource plan including services like RMT, psychology, and physiotherapy
• Up to $5,000 per year for mental health supports
• Gender Affirmation benefits
• Up to $1,500 per year for professional development
• Up to $1,500 per year for wellness and home office expenses
• Employee resource groups
• Social impact hours- Experience building governance, policy, or guardrail systems. You’ve thought carefully about how to build systems that enforce standards at scale without getting in developers’ way
• Strong cross-functional collaboration skills. You build trust with partner teams, communicate clearly about progress and trade-offs, and know how to drive alignment across an organization
• A product mindset for internal platforms. You treat developer tooling as a product, with engineers as your customers. You’re driven to understand their pain points, measure adoption and impact, and build solutions that stick
• Hands-on experience building with LLMs and AI tooling. You’ve explored and worked in the AI space, whether building LLM-powered developer tools, integrating AI APIs, or experimenting with agents and automation. You understand the practical realities of working with models like Claude in production systems
• Technical versatility across a polyglot stack. Experience with two or more of Ruby, Python, TypeScript, or Java/Kotlin. You’re comfortable writing tooling and automation across different language ecosystems
• 7+ years of experience in software development as part of a team, with meaningful experience in platform engineering, developer experience, or developer tooling, and a growing track record building AI-powered or LLM-driven systems
• Data-informed decision-making. You use metrics to identify opportunities, measure impact, and prioritize. You’re comfortable establishing baselines, setting targets, and tracking progress toward goals