Principal Engineer (AI)

About Resolver

Resolver is a high-growth SaaS company whose intuitive, no-code platform gives our customers a clear picture of their risks so they can make quick and effective decisions. As a part of the Resolver team, your work will help transform risk management to risk intelligence so organization scan protect people and assets and deliver on their purpose. We are ambitious in both our mission and our culture.

As a business within we offer an innovative, non-hierarchical work environment blended with the stability and financial security of an enterprise. Resolver has also been named one of Canada’s Great Places to Work six years in a row.

What you’ll be doing:

Technical Vision and Strategy (30%)

Measures of Success: clear articulation and adoption of technical vision, alignment of technical direction with business outcomes, and successful adoption of innovative AI and non-AI technologies.

• Define the north star for AI and related technologies and create the strategy that connects it to business success.
• Define and drive the technical vision and long-term strategy for the platform, with a primary focus on AI/ML (LLMs, GenAI, Agentic systems, MCP systems, ML platforms) while also contributing to non-AI initiatives.
• Align technical goals with business objectives, ensuring the platform evolves to meet current and future needs.
• Communicate and advocate the technical vision effectively to both technical and non-technical stakeholders, bridging strategy and execution.

Architectural Oversight (30%)

Measures of Success: effective oversight of system architecture, improved scalability and performance, and strong adherence to architectural standards.

• Ensure systems AI and non-AI are designed and integrated in a way that is scalable, secure, and consistent with architectural best practices.
• Provide oversight and guidance on AI and non-AI system architecture, ensuring coherence, scalability, performance and security.
• Review AI solution designs, data strategies, and model implementations for robustness, fairness, and compliance.
• Collaborate with other senior technical leaders to define and enforce architectural standards, patterns, and best practices.
• Lead critical architectural initiatives, including AI integration with existing systems and platforms.

Complex Problem Solving (30%)

Measures of Success: successful resolution of critical technical issues, measurable improvements in reliability and performance, and delivery of robust solutions to high-impact problems.

• Be the go to expert who tackles the toughest technical challenges, designing robust solutions to critical AI and engineering problems.
• Perform in-depth analysis and root cause investigations for critical system and model issues.
• Design and implement innovative, resilient solutions to complex problems across AI and non-AI domains.
• Serve as the escalation point for the most difficult technical challenges faced by engineering teams.

Mentorship and Leadership (10%)

Measures of Success: …