AI Innovation Specialist

Zurich Insurance Company Ltd.•Toronto, ON

1d•CA$90,000 - CA$110,000•Hybrid

About The Position

Zurich Canada is seeking an AI Innovation Specialist to join their Data, Analytics and Artificial Intelligence team. This role will focus on accelerating AI innovation across the organization by identifying high-value use cases, designing proof of concepts, and collaborating with stakeholders to develop scalable business solutions. The specialist will work with business leaders, technology teams, and frontline teams to explore AI's potential to improve customer, broker, employee, and operational outcomes. A strong understanding of modern AI capabilities, including large language models, prompt design, automation, workflow enablement, and responsible AI practices, is essential. This position offers a senior AI practitioner the chance to influence how Zurich Canada discovers, tests, and scales AI solutions responsibly and collaboratively. Zurich Canada utilizes AI-enabled tools in its recruitment process, but all hiring decisions are made by qualified professionals.

Requirements

Bachelors Degree and 4 or more years of experience in the Insurance or Operations area OR High School Diploma or Equivalent and 6 or more years of experience in the Insurance or Operations area OR Zurich Certified Insurance Apprentice including Associate Degree and 4 or more years of experience in the Insurance or Operations area
Project management experience

Nice To Haves

Hands-on experience designing and delivering cross-functional initiatives (including artificial intelligence and automation solutions), managing change, and engaging various stakeholders
Experience working with generative artificial intelligence, large language models, artificial intelligence tools, or applied artificial intelligence solutions in a business environment
Senior-level, hands-on experience supporting artificial intelligence innovation, digital transformation, product experimentation, or technology-enabled business change
Practical experience in a business setting with large language models, generative artificial intelligence tools, prompt design, agentic workflows, retrieval-augmented generation concepts, or artificial intelligence-assisted automation
Experience designing and delivering proof of concepts, pilots, prototypes, or minimum viable products with measurable business outcomes
Strong ability to discover and frame business use cases across varied business units, assess feasibility, define success metrics, and translate ideas into practical solution concepts
Strong stakeholder engagement skills, with the ability to work across business, data, technology, legal, compliance, risk, and security teams
Ability to communicate artificial intelligence concepts in clear, business-friendly language and build confidence with non-technical audiences
Understanding of responsible artificial intelligence practices, including governance, privacy, human oversight, transparency, model limitations, and ethical use
Experience preparing presentations, demos, business cases, adoption plans, training materials, or executive-ready recommendations
Strong curiosity, learning agility, problem solving, and ability to stay current with emerging artificial intelligence capabilities, tools, and industry trends
Strong project management skills, with the ability to manage multiple priorities, move work forward independently, and create structure in ambiguous environments
Collaborative mindset with the ability to influence, enable, and energize teams across the organization
Insurance, financial services, data analytics, or enterprise transformation experience is an asset

Responsibilities

Drive artificial intelligence innovation across the organization by identifying, shaping, and prioritizing high-value use cases with business stakeholders.
Design and deliver proof of concepts that demonstrate practical artificial intelligence opportunities, including solutions using large language models, generative artificial intelligence, automation, and intelligent workflow support.
Partner with business, data, technology, legal, compliance, risk, and security teams to move artificial intelligence ideas from discovery through experimentation, validation, and adoption.
Translate business challenges into clear artificial intelligence solution concepts, user stories, success measures, and implementation considerations.
Apply hands-on experience with artificial intelligence tools and techniques, including prompt engineering, retrieval-augmented generation concepts, model evaluation, workflow design, and rapid prototyping.
Support the development and execution of the organization’s artificial intelligence strategy by bringing forward emerging opportunities, adoption barriers, and practical recommendations.
Create clear demonstrations, prototypes, presentations, and business cases that help stakeholders understand the value, feasibility, risks, and adoption path for artificial intelligence solutions.
Champion responsible artificial intelligence practices, including appropriate governance, risk assessment, human oversight, data protection, transparency, and ethical use.
Build momentum and excitement for artificial intelligence adoption by enabling stakeholders, sharing practical examples, supporting training, and helping teams apply new capabilities in their day-to-day work.
Contribute to a collaborative, high-performing Data, Analytics and Artificial Intelligence team by sharing expertise, mentoring peers where appropriate, and helping mature the organization’s artificial intelligence innovation capability.