Workplace AI Specialist

Alimentiv - Toronto, ON, Canada

Non-technical Verified Jun 17, 2026 Source: alimentiv.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: $51,000 - $84,500 a year Extended Health Benefits : Health Drug Dental Vision Out of Province/Country Emergency Health Insurance & Protection : Accidental Death & Dismemberment (AD&D) Life Insurance for you and your family members Short- and Long-Term Disability Retirement Savings : Group Retirement Savings Plan (7% employer match with 5% employee contribution) Wellness & Lifestyle Perks : Education Reimbursement of up to $1,050 CAD (or local equivalent) annually for eligible expenses Summer Hours Program Work Abroad Program – enjoy up to 4 weeks per year of remote work outside your home region Performance & Recognition : Short-Term Incentive Program of up to 6% of salary Stay Alert to Recruitment Scams We have been made aware of individuals posing as our recruiters and contacting candidates with fraudulent opportunities

Qualifications

3+ years of related experience
(Honours) Bachelor’s degree
Fluent in English (verbal and written)
Ability to communicate complex or technical concepts clearly to non-technical audiences (verbal and written)
Demonstrated ability to build effective working relationships across all organizational levels, including frontline staff and senior leadership
Experience designing and delivering training programs for diverse adult learners
Knowledge of change management principles and technology adoption frameworks
Ability to identify underlying user needs and develop practical, targeted support solutions
Experience producing user documentation, guides, and job aids that reduce barriers to tool adoption
Proficiency with no-code and low-code platforms (e.g., Microsoft Copilot Studio, Power Automate, Claude.ai) to configure and demonstrate AI-powered workflows without custom development
Ability to develop functional proof-of-concept solutions demonstrating AI applicability to specific business problems
Familiarity with prompt engineering and understanding of large language model capabilities and limitations
Ability to define and communicate the boundary between enablement-level prototyping and production development requiring IT or developer involvement
Strong cross-functional collaboration skills and ability to align stakeholders around shared objectives
Ability to interpret adoption metrics and usage data to prioritize support efforts
Working knowledge of AI tools sufficient to guide end-user adoption (deep technical expertise not required)
Familiarity with data privacy principles and responsible AI use in regulated environments
Experience in clinical research or healthcare is considered an asset
Health
Drug