AI role · Open offer

AI Product Owner — insurance copilots

Sun Life

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 1 York Street, Toronto, ON M5J 0B6, Canada · Hybrid
Compensation: CAD 125k–155k/year + bonus
Experience level: Senior
Team: Digital AI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Sun Life is hiring a Senior AI Product Owner — insurance copilots on the Digital AI team (Hybrid · Toronto, Canada). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Sun Life embeds AI copilots in insurance and wealth journeys. AI Product Owner prioritises features with actuarial and compliance input.

Hybrid downtown Toronto: focus on trustworthy advice and clear disclosures.

What you will do

Maintain copilot backlog with regulatory review checkpoints.
Define eval metrics for advice quality and hallucination rate.
Partner with UX on advisor and member workflows.

Stack & environment

LangChain, vector search, hybrid Toronto York St.

What we look for

Insurance or fintech product experience.
Bilingual French an asset.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Product Management

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

Vector DBsTool
Embedding storage, hybrid search, and freshness strategies for RAG and semantic retrieval.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Insurance copilot roadmap with compliance review and user adoption KPIs.
Several of these show up in recent shipped work—not only on your CV: LangChain, NLP, Product Management, and Vector DBs.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Toronto, Canada)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

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What the employer asked for

Insurance copilot roadmap with compliance review and user adoption KPIs.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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