Frontier AI Security Threat Hunter
Listed on 2026-06-08
-
IT/Tech
Cybersecurity, AI Engineer (Applied/Software), Data Security
Location
Remote (Canada)
Employment TypeFull time
Location TypeRemote
DepartmentData & Engineering Security
Compensation- Base Salary CA $151.2K – CA $189K Offers Equity
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $125 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.
About the teamWe’re building a new AI-enabled adversarial testing capability whose mandate is simple but ambitious: find all the ways Wealthsimple can be exploited before our AI-enabled adversaries do. This group combines penetration testing, secure code analysis, and attack simulation R&D to continuously probe Wealthsimple’s systems using a combination of automation, autonomous AI agents, and human expertise. If you want to build an automated, end-to-end clearbox pentesting/red teaming platform, this is the team doing it!
You’ll join as an individual contributor on this team, reporting into the Manager, Application Security, working alongside a platform engineer, security researcher, and the application security team.
About the roleAs a Frontier AI Security Penetration Tester, you’ll be a hybrid builder and breaker:
- Design and run automation-driven attack campaigns against Wealthsimple’s products and infrastructure including activities like:
- Designing realistic AI attack scenarios that account for:
- Attacker goals, initial access assumptions, and constraints.
- Success criteria and clear boundaries for safety.
- Wealthsimple-specific risks, design flaws, trust boundaries, and risk tolerance
- Use and evolve our AI agents and tooling to:
- Perform recon, vulnerability probing, confirmation, impact analysis, exploitation, and post-exploitation in safe environments.
- Designing realistic AI attack scenarios that account for:
- Help shape and improve the automated testing pipeline: how we model assets, orchestrate agents, run automated workflows, and turn noisy outputs into actionable findings. You’ll work closely with a platform engineer and a researcher to
- improve how scenarios and workflows are modeled and automated so we can automate the replay of promising attack paths.
- build and improve AI agents and tooling
- Propose and validate new tools or capabilities that unlock richer attack behavior
- Learn to use our native and in-house tooling to find more
- Work across the stack with platform engineers, App Sec, and other security teams to make automated and AI adversarial testing a routine, high-signal part of our SDLC. This includes:
- reviewing AI-generated findings to separate high-impact vulnerabilities from noise and false positives.
- Enhance proofs-of-concept into clear, reproducible steps for engineering teams and new automations
- Support remediation by pairing with engineers when needed and verifying that fixes address the root cause.
You’ll have substantial influence on the team’s roadmap through experimentation and R&D.
People who will succeed in this role are- Courageously Ambitious - they enthusiastically tackle big audacious goals.
- Deeply Human - they take responsibility for bringing the best out of themselves and others.
- Problem Solvers - they have the ability and resilience to tackle complex issues, find common patterns, design solutions for scale, and see them through.
- Enthusiastic Communicators - they capture and share learnings by default, and are always looking to implement suggestions for improvements and guardrails
- Embraces change and experimentation - treat campaigns and framework changes as experiments. Thoughtfully define hypotheses, evaluation criteria, and success metrics, then analyze outcomes and share results with the team to guide next iterations.
- Experience building AI- or automation-assisted offensive security tools.
- Experience (5+ years preferred) in…
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