AI Builder, Strategy & Transformation

The Canada Life Assurance CompanyToronto, ON
CA$80,400 - CA$130,400Hybrid

About The Position

The Strategy team is a critical function within Canada Life, responsible for long-term planning and future-proofing the business against evolving trends. This role is part of a small, motivated team that engages directly with senior leaders and executives across the organization and its affiliates. The team is involved in developing corporate and business unit strategy, as well as solution design, launch, and early-stage execution of large-scale transformations. The work is high-visibility and high-impact, with recent projects including technology strategy, M&A, and AI transformation. As AI becomes central to the enterprise agenda, this role will focus on prototyping LLM-based agents and AI workflows, educating the team, and turning strategic hypotheses into working pilots to validate value before large-scale investment. The individual will collaborate with business teams and vendors to build AI use cases, develop pilots, and measure their effectiveness.

Requirements

  • 2+ years of experience shipping AI/ML systems in production, including LLM-based agents, RAG pipelines, or workflow automation.
  • Corporate strategy, software/computer science, or quantitative experience (formal degree or equivalent demonstrated track record).
  • Working knowledge of at least one agent framework (Anthropic SDK, OpenAI SDK, or similar).
  • A "builder’s mindset" with a tendency to redesign from first principles.
  • LLM experience, including understanding prompt engineering, tool use, and agent evaluation.
  • Experience building agents and executing projects from ideation to prototype.
  • Ability to translate executive requests and problems into concrete, tangible outcomes.
  • Comfort operating in financial services, insurance, or other regulated environments.
  • A drive to build and strong business instincts for quick and effective decisions.
  • Strong communication skills to build long-term relationships with diverse stakeholders.

Responsibilities

  • Ideate and build AI solutions, partnering with senior leaders to rethink customer and advisor experiences using AI.
  • Move rapidly from concept to prototype to real-world validation using pilots to test strategic ideas.
  • Prototype under real constraints (data, regulation, user behavior) to ensure solutions are practical.
  • Build LLM-based agents and AI workflows to safely compress decision-making time with human-in-the-loop considerations.
  • Set the standard for AI capabilities within the organization, creating foundational work for future projects.
  • Leverage AI to enhance the day-to-day operations of the strategy team, including competitive intelligence and slide generation.
  • Transform AI from an isolated capability into a core operating layer for strategy work, accelerating research, synthesis, and execution.
  • Reduce cycle times for high-value tasks like market analysis and strategic recommendations through AI augmentation.
  • Support the team's transition from AI novices to AI experts.
  • Build reference architectures and standards for enterprise-wide AI strategy efforts.
  • Translate early AI successes into enterprise momentum, influencing AI investment decisions.
  • Provide support and insights for vendor and foundation model selections.
  • Test feasibility with diverse stakeholders across various teams.
  • Independently own entire workstreams within larger AI and strategy initiatives.

Benefits

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs.
  • Education Reimbursement: Up to $2,000 annually towards education reimbursement.
  • Health & Wellness: Flexible health and dental benefits.
  • Mental Health Benefit: $5,000 mental health benefit.
  • Time Off: Regular vacation and personal days.
  • Volunteer Day: Support for community involvement with a volunteer day.
  • Financial Security: Company-matching pension plan.
  • Share Ownership Program.
  • Additional investment options.
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts.
  • Community Focus: Workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs, and events.
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