Staff AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Define the AI roadmap in collaboration with product and engineering leaders.

• Make architectural choices and address dependencies across teams.

• Link technical decisions to quantifiable business outcomes.

• Oversee the hands-on development of agents, tool integrations, retrieval systems, and AI-driven workflows that connect to enterprise APIs and data.

• Guide AI systems from the stages of discovery and prototyping through to deployment, monitoring, and enhancement.

• Create evaluation datasets, establish baselines, and conduct controlled experiments to measure quality, reliability, latency, cost, and user outcomes.

• Develop repeatable software development practices, shared tools, reference architectures, and deployment strategies.

• Execute practices for evaluation, versioning, observability, staged releases, rollback, security, privacy, and incident response.

• Mentor engineers through design and code reviews, documentation, and training on AI-assisted development.

• Advocate for validation of generated code, test coverage, maintainability, and responsible human oversight.

• Collaborate with engineering, legal, compliance, and security leaders to manage the economics of AI.

• Interpret relevant regulations and standards into engineering practices and implement responsible AI controls and audit documentation.

• Report directly to the Head of AI.

⛳️ Requirements

• Extensive experience in delivering production software, including providing technical leadership across teams and taking ownership of complex initiatives from architecture to ongoing operations.

• Practical experience in building and managing LLM-based and agentic systems, including tool usage, orchestration, retrieval, evaluation, and agentic harnesses.

• Strong software engineering skills in API and system design, data modeling, automated testing, code review, CI/CD, observability, and secure development practices.

• Proficiency in production-level Python or C#.

• Experience in deploying cloud services and integrating enterprise APIs and data, while overseeing reliability, security, performance, and operational costs.

• Bachelor’s degree in a relevant technical discipline or equivalent practical experience.

• Willingness to travel occasionally for departmental meetings, company events, seminars, or networking opportunities.

• Experience in delivering AI-enabled enterprise SaaS products, especially on Microsoft Azure.

• Experience in creating shared AI platforms, evaluation infrastructures, or internal developer tools utilized by multiple teams.

• Familiarity with enterprise data governance and compliance requirements.

• Employment is contingent upon meeting applicable work authorization and background screening requirements.

🏝️ Benefits

• Fully remote work environment.

• Flexible paid time off available from your start date.

• Comprehensive health and welfare benefits.

• Paid parental leave.

• 401(k) plan with company matching.

• Company-paid volunteer days.

• Opportunities for career growth and advancement from within.

• Eligibility for bonus pay.

• Medical, dental, and vision insurance for eligible employees.

• Virtual interviews may be transcribed using an AI-enabled note-taking tool to aid in interview documentation.