Lead AI Engineer (Commercial Real Estate)

TL;DR

Lead AI Engineer (AI/LLM): Designing and deploying intelligent features and agentic workflows for the ARGUS Intelligence Platform with an accent on commercial real estate asset valuation and analytics. Focus on moving AI concepts from experimentation to enterprise-scale production and establishing scalable ML practices.

Location: Remote-first, must be based in Toronto, Canada (hybrid, 1–2 times per month in-office)

Salary: $200,000 - $230,000

Company

A global leader in commercial real estate technology providing the ARGUS Intelligence Platform to institutional investors and asset managers.

What you will do

• Architect and deploy AI-powered capabilities, including conversational AI and agentic workflows, for asset valuation.
• Define the organization's AI technical direction, including model strategy, architecture, and infrastructure.
• Lead the transition of AI prototypes from concept and experimentation into scalable production capabilities.
• Collaborate with Product, Data, and Engineering teams to translate evolving business needs into AI solutions.
• Establish standards and best practices for AI/ML development, governance, and operational reliability.
• Mentor engineers and foster a culture of technical excellence and AI adoption across the organization.

Requirements

• Proven experience building and deploying enterprise-grade AI/ML systems in real-world production environments.
• Deep expertise in transformers, RAG architectures, prompt engineering, and agentic systems.
• Strong software engineering fundamentals and experience with complex system design.
• Technical leadership experience at a Staff Engineer, Principal Engineer, or Technical Lead level.
• Must be based in Toronto, Canada to support occasional in-person collaboration.
• Ability to communicate complex technical trade-offs clearly to both technical and non-technical stakeholders.

Culture & Benefits

• Flexible Activity-Based Work model balancing remote focus and in-office collaboration.
• Access to the Altus Intelligence Academy with over 150,000 hours of learning content.
• Competitive total rewards package focusing on mental, physical, and financial well-being.
• High-trust, high-performance culture providing mentorship from industry experts.

Hiring process

• Virtual interview with a Talent Advisor (recorded via BrightHire).
• In-person interview in Toronto with the hiring manager focused on AI commercialization.
• Virtual technical and leadership panel interview involving a take-home assignment and presentation.