Principal Engineer (AI)

Overview

The Principal Engineer (AI) is the highest-ranking individual contributor, with deep expertise in artificial intelligence, including large language models, machine learning, generative AI, Agentic systems, and related technologies. The role applies AI frameworks, principles, and best practices to influence the platform's technical vision, help the team leader guide delivery teams through complex AI and non-AI technical problems, and work closely with the VP of Software Development to drive innovation and long-term technical strategy. With a primary focus on advancing AI/ML capabilities, this role defines and evolves the organization's approach to LLMs, ML platforms, GenAI applications and Agentic systems. The Principal Engineer (AI) ensures that all technology initiatives AI and non-AI are technically robust, ethically responsible, and aligned with business outcomes while acting as both a hands-on technical leader and strategic thought partner.

Resolver is now permanently hybrid – that means you can decide to work in office, remotely or a mix of both depending on your preference! That location you see above is the region you are able to work within.

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 organizations can protect people and assets and deliver on their purpose.

We are ambitious in both our mission and our culture. As a business within Kroll, 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: stronger technical capability across teams, improved organizational maturity in AI and engineering practices, and a culture of collaboration and innovation.

• Grow the organization's technical talent by mentoring engineers, promoting responsible AI practices, and fostering a culture of excellence and innovation.
• Inspire, mentor, and coach senior engineers, data scientists, and technical leaders to grow talent and capability.
• Promote a culture of excellence, continuous learning, responsible AI adoption, and innovation across the engineering organization.
• Lead by example while providing guidance and support for professional development, demonstrating technical excellence, thought leadership, and ethical responsibility in AI practices.

What you will bring

• Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience
• Demonstrated success in designing and delivering scalable, reliable, and high-performing AI and software solutions within complex technical environments
• Strong proficiency in modern software and AI architecture principles, including design patterns, distributed systems, MLOps practices, and emerging AI/ML technologies (LLMs, GenAI, vector databases, MCP, etc.)
• Master-level proficiency in Python, with hands-on experience in additional languages such as JavaScript/TypeScript and Go
• Demonstrated ability to design and oversee complex distributed systems, ensuring scalability, resilience, performance and security
• Experience in mentoring and coaching developers, data scientists, and technical leaders while fostering collaboration across engineering, product and business teams
• Ability to align technical vision and execution with business objectives, ensuring that solutions are robust, ethically responsible, and future-proof
• Demonstrated ability to coach, influence, and enable teams to deliver solutions effectively
• Excellent communication skills to align stakeholders, teams, and leadership on architectural decisions

What we’ll give you in return

Resolver is one of Canada's Great Workplaces. Culture isn't just something we write about (although we do), we live our values and challenge each other to be our best selves. We invest in Resolverites who will grow with us. Here’s how we do it:

• Health and Wellness Benefits: 100% paid by us for health and dental from day one. Vision care every 12 months. Wellness/fitness reimbursement for gym memberships, yoga classes, sports memberships, or biking.
• Professional development: external learning budget, regular learning workshops, e-learning, Career Development Program, Coaching Program for managers.
• Vacation: flexible vacation with typical 3–4 weeks off per year.
• Parental leave: best-in-class top-up for new parents – 100% for 15 weeks, plus 5 additional weeks of pregnancy leave for birth mothers.
• Flexibility & trust: we hire adults and trust you to manage your outcomes; option to work remote or in-office to support collaboration.
• Back in the Office: in-office perks and social opportunities; snacks, lunches, and team events; remote-friendly.

Salary: The salary range for this role is $160,000 to $180,000.

Interested?

If you want to work in a highly collaborative environment and are committed to making a difference, click here to get the process rolling.

We truly appreciate all interest and will happily reply to qualified candidates.

Resolver is committed to providing accommodations for all persons with disabilities. If at any point in the recruitment process you require accommodation, please notify the applicable recruiter or contact us directly at careers@resolver.com

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