Artificial Intelligence

• Play an active role in the full life cycle (prototyping, development, deployment) of AI-driven applications and features, with a specific focus on cloud architectures.
• Help fine-tune, evaluate and integrate large language models (LLMs) into our core business processes.
• Set up and maintain testing, monitoring, feedback and performance assessment protocols for our AI systems.
• Assist the team in connecting intelligent agents to internal or external services and APIs.
• Work closely with cross-functional teams to embed AI capabilities into our digital platforms.
• Conduct exploratory proofs of concept to bridge AI with our legacy systems and build viable new products.

Senior AI Analyst – T & I

• Define and maintain an AI vision aligned with business objectives and corporate priorities.
• Develop the target functional and ecosystem architecture for artificial intelligence.
• Identify value-creation opportunities and AI-driven differentiators for Lines of Business.
• Ensure the consistency of AI initiatives across technology teams, platforms, security teams, and data teams.
• Contribute to the evolution of governance frameworks, architectural principles, and AI usage guidelines.
• Serve as a strategic advisor for the positioning and prioritization of AI use cases.
• Translate the AI vision into actionable directions, roadmaps, and tactical priorities.
• Support teams in the practical implementation of AI capabilities and solutions.
• Promote the progressive, measurable, and scalable adoption of artificial intelligence solutions.
• Partner with business stakeholders to identify, prioritize, and structure high-impact needs.
• Ensure AI initiatives deliver measurable business value.
• Maintain active awareness of emerging trends, architectures, and use cases in artificial intelligence.
• Act as a recognized subject matter expert and influential leader across technology and business teams.
• Contribute to increasing organizational maturity in artificial intelligence.

Senior Advisor, Artificial Intelligence Strategy

• Lead the integration of AI-enabled capabilities and technology solutions into the Workforce Management ecosystem
• Partner with technology and business teams to evaluate and operationalize AWS AI-enabled capabilities
• Ensure new capabilities are effectively adopted and embedded into day-to-day operations
• Manage system integration across WFM platforms, AWS-related technologies, and enterprise tools
• Support development of team capabilities in integration and AI-enabled workflows
• Foster strong working relationships across multiple stakeholders

Manager, WFM AI Capabilities – Integration

• Lead consulting projects to drive process improvement and ensure business readiness for optimal adoption and utilization of NICE self-service and AI solutions.
• Consult with clients to understand their current business and technical processes, self-service needs, and AI implementation requirements.
• Provide best practice recommendations to design and implement self-service and AI software solutions, ensuring customers fully optimize their business processes and maximize potential.
• Collaborate with product development teams to provide feedback and suggest improvements based on client experiences.
• Own and manage senior stakeholder relationships, ensuring active participation and sponsorship throughout the engagement.
• Build long-term relationships with customers, becoming a trusted advisor.
• Organize and guide application and data consultants through program leadership, acting as the consulting engagement quarterback.
• Manage consulting programs with continuous alignment with the entire product implementation program.
• Establish and monitor progress toward business success criteria for each product and business unit.
• Map business cases into action items and solution designs.
• Align launch strategies with use cases and value priorities.
• Secure buy-in from different stakeholders (internal and external).
• Provide input into technical project plans, ensuring business requirements and best practices are fully captured.
• Develop and deliver presentations to demonstrate the value and capabilities of our software solutions.
• Analyze client data to identify opportunities for process improvement, increased software adoption, and AI-driven insights.

Principal Business Consultant, AI

• Be the AI compliance trailblazer, ensuring all GenAI use cases meet regulatory standards
• Partner with business teams to define key performance metrics and build a state-of-the-art dashboard
• Forge strategic alliances with the Enterprise Model Risk Management team to streamline certification processes
• Guide teams through model risk compliance focusing on innovation
• Partner with stakeholders to implement control testing/monitoring automation
• Champion the establishment of the Model Risk and Governance Centre of Enablement for Advice Centre & Branch Technology

Senior Analyst – AI Models Risk and Governance

• Drive product-led growth for the assigned segment by establishing early wins, accelerating customer adoption, and developing repeatable go‑to‑market motions that enable Sales teams to confidently and consistently sell validated solutions.
• Define validation priorities and early‑adopter strategies; partner with Forward Deployed Engineering to prove value with strategic customers and generate actionable insights to inform product readiness and scale decisions.
• Lead and align cross‑functional go‑to‑market teams across Sales, Marketing, Customer Success, and Professional Services; establish clear plays, messaging, and enablement frameworks to reduce friction and ensure field readiness.
• Influence product roadmap and investment decisions by synthesizing customer feedback, market signals, and adoption data gathered through direct engagement with enterprise customers and stakeholders.
• Build, lead, and develop high‑performing teams through strategic hiring, coaching, and performance management; foster a culture of accountability, inclusion, and continuous improvement.

VP, Product Delivery – AI

• Own and improve internal operating processes across the company.
• Help create structure, visibility, and accountability around cross-functional work.
• Support leadership with operational reporting, meeting follow-ups, task tracking, and execution rhythms.
• Build and maintain SOPs, runbooks, workflows, and internal knowledge bases.
• Identify operational bottlenecks and create practical solutions that improve speed, clarity, and consistency.
• Coordinate cross-functional initiatives across leadership, product, engineering, HR, finance, support, and live operations.
• Support department managers and work with SLT across the company in planning, internal communications, leadership meeting preparation, and follow-through on key decisions.
• Help ensure important commitments, deadlines, and action items do not get dropped.
• Administer and improve key business systems, including CRMs, HRIS, CSM, JIRA, AI automations, project management, support, collaboration, documentation, and reporting tools.
• Support software/tech stack hygiene, process design, fields, workflows, dashboards, pipeline visibility, and user adoption.
• Help teams use tools properly so reporting is accurate and workflows are reliable.
• Manage user access, permissions, licenses, configuration, and tool usage across systems such as Google Workspace, Slack, Jira, Zendesk, CRM platforms, Notion, Airtable, Asana, or similar tools.
• Identify underused, redundant, or poorly configured tools and recommend improvements.
• Partner with teams to improve how work flows through systems, from intake to execution to reporting.
• Create lightweight dashboards, reports, and operational views that help leaders understand what is happening across the business.
• Improve data quality, process compliance, and system reliability across internal tools.
• Use AI tools such as ChatGPT, Claude, Gemini, or similar platforms to improve daily operations, documentation, reporting, research, and internal workflows.
• Identify opportunities to automate repetitive work across operations, HR, recruiting, finance, support, product, and leadership workflows.
• Build or coordinate lightweight automations using tools such as Zapier, Make, Google Apps Script, Airtable, Notion, or similar platforms.
• Create AI-assisted workflows for meeting summaries, action tracking, SOP creation, ticket triage, CRM updates, reporting, and internal communications.
• Help teams adopt practical AI workflows that improve productivity without creating unnecessary complexity.
• Maintain clear documentation for automated workflows, system processes, and recurring operating tasks.
• Continuously look for ways to reduce manual work, improve speed, and increase operational leverage.
• Manage relationships with external vendors, service providers, and software partners.
• Track renewals, contracts, costs, licenses, seat allocation, and vendor performance.
• Optimize software spend by identifying unused seats, duplicate tools, or inefficient subscriptions.
• Coordinate vendor transitions, onboarding, offboarding, procurement, and service reviews.
• Support leadership with vendor comparisons, cost analysis, and recommendations.
• Ensure business tools are being used effectively and that the company is getting value from its software stack.
• Support employee onboarding and offboarding across systems, tools, equipment, access, and documentation.
• Coordinate access setup, permission changes, license assignment, and account removal.
• Maintain hardware and device inventory, procurement records, and equipment lifecycle processes.
• Provide first-level internal support for common business systems, software access, account issues, and workflow questions.
• Coordinate light IT needs such as device setup, basic troubleshooting, office connectivity, and vendor escalation.
• Partner with external specialists when deeper technical support is required.
• Help keep the Toronto office operational, organized, and ready for employees, candidates, vendors, and visitors.

Head/Senior Manager, Operations, Strategy & AI

• Lead the facilitation and delivery of AI and digital transformation training to both post-secondary students and their Work Integrated Learning (WIL) host employers.
• Deliver high-impact AI training sessions for both student and employer cohorts.
• Facilitate synchronous virtual bootcamp sessions and workshops that go beyond surface-level overviews to provide practical, applied AI skills.
• Provide expert-level guidance to employer and student cohorts on AI readiness assessments, transformation roadmaps, and priority use case identification.
• Collaborate with the Manager and e-learning team to develop, review, and continuously evolve technically current AI training content.

Bilingual AI Training, Business Transformation Specialist

• Identify high-impact opportunities where AI agents and automations can improve customer adoption, retention, and operational efficiency.
• Design and execute AI-driven customer success programs including digital journeys, automated interventions, and agent-led workflows.
• Translate business requirements into working prototypes and production-ready solutions using no-code and low-code tools, LLM APIs, and prompt engineering.
• Drive continuous optimization of AI programs based on performance data and customer feedback.
• Design and implement workflow orchestration pipelines using tools such as n8n, Make, Zapier, or custom-built logic layers.
• Integrate AI solutions across enterprise platforms (Salesforce, Gainsight, Gong, Pendo) via APIs, webhooks, and middleware.
• Manage data flows between systems, ensuring reliability and scalability of AI-driven processes without requiring engineering support for routine changes.
• Develop, test, and iterate on prompt engineering strategies to maximize model accuracy, consistency, and performance.
• Apply RAG (Retrieval-Augmented Generation) patterns and evaluation frameworks to improve solution quality.
• Monitor AI program performance (engagement, success rates, efficiency metrics) and translate data into actionable improvements.
• Partner with Customer Success, Product, Engineering, Operations, and Enablement to embed AI into core workflows and customer engagement strategies.

AI Solutions Specialist

• Gain experience across key AI capabilities: AI & Machine Learning, Generative AI, Engineering & Delivery, Responsible & Governed AI
• Explore and prepare data; engineer features and build baseline models
• Develop and evaluate machine learning models (e.g., forecasting, classification, NLP, anomaly detection)
• Prototype and test GenAI solutions
• Build reproducible code and pipelines using Python, SQL, and modern tools
• Collaborate with engineering teams to deploy solutions into production environments
• Contribute to model documentation, validation, and governance practices

GRO Program – AI

• All normal duties related to the design and teaching of a University credit course, including preparation and delivery of course content;
• out-of-class interactions with students via e-mail and office hours;
• development, administration and marking of assignments, tests and exams;
• calculation and submission of grades;
• ordering of all necessary readings;
• supervision of TAs (if any) assigned to the course.

Sessional Lecturer – EDS285H5F, The Future of Ed Tech: Active Learning Classrooms and AI

• Participate in enterprise architecture engagements by quickly understanding business objectives and organizational contexts;
• Conduct interviews with stakeholders (executives, IT leadership, business teams) and synthesize key information;
• Assess the current architecture and define a target vision that integrates digital and AI capabilities (data platforms, data analytics, automation);
• Configure and optimize enterprise architecture tools, including automation capabilities and AI-assisted analytics;
• Produce clear, structured deliverables accelerated through the use of intelligent tools (e.g., copilots, AI-assisted documentation generation);
• Define and implement governance models, including data governance and AI governance;
• Contribute to the development of accelerators, frameworks and solutions that incorporate artificial intelligence;
• Participate in the preparation of proposals for tenders/RFPs;
• Maintain continuous technology watch (AI, data, cloud, architecture) and analyze the impacts for clients;
• Develop advanced expertise in architecture and digital transformation with mentorship from senior experts.

Senior Artificial Intelligence Advisor

• Define the vision and roadmap for BI, data and analytics
• Align initiatives with corporate strategy
• Oversee delivery of BI and data integration projects
• Ensure the stability and performance of BI and data platforms
• Ensure data security and access control

Data, AI – Integration Manager

• Design and implement AI-driven solutions, including LLM-based applications, agentic workflows, and automation systems
• Build multi-step data pipelines for document processing, transformation, validation, and error handling
• Develop semantic search and RAG-based solutions using embeddings, vector databases, and retrieval pipelines
• Engage with business stakeholders to understand complex workflows and identify opportunities for AI adoption
• Translate business requirements into scalable technical architectures and solution designs
• Ensure integration with enterprise platforms, data sources, and governance systems

Senior Associate – AI Consulting, Insurance

• Work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment
• Own the end-to-end implementation of Pigment’s AI capabilities for strategic customers
• Manage the translation of business problems into models
• Collaborate closely with Customer Success, Solutions Architects, and Product teams
• Train users and teams on Pigment features, modeling best practices, and scalable system design

AI Deployment Strategist

• Analyze business needs that can be supported by artificial intelligence.
• Recommend relevant, secure, and responsible AI approaches.
• Design or contribute to proofs of concept.
• Support the integration of AI services into existing applications.
• Analyze data, security, governance, and privacy issues.
• Recommend control, validation, and monitoring mechanisms.
• Document technological choices, limitations, risks, and recommendations.
• Collaborate with architects, analysts, developers, and security experts.

Artificial Intelligence Expert

• Getting hands-on education in AI automation with real projects.
• Working on automation projects that save time and improve workflows.
• Designing and deploying practical AI agents that solve real problems.
• Collaborating across the business to uncover repetitive workflows and bottlenecks.
• Bridging operational teams and technical implementation for AI solutions.
• Maintaining a transformation dashboard tracking AI impact on efficiency.
• Navigating AI governance, data risk, and responsible AI implementation.

AI Automation Intern

• Develop and execute a comprehensive AI platform roadmap aligned with Zayo’s business objectives
• Lead the research, evaluation, and implementation of large-scale AI models, including LLMs, transformer-based models, computer vision, and multimodal AI
• Design and deploy AI solutions for predictive analytics, intelligent automation, operational optimization, and real-time decision-making
• Oversee the end-to-end AI lifecycle, including data engineering, model development, testing, deployment, monitoring, and continuous improvement
• Build and optimize scalable AI infrastructure using cloud platforms such as AWS, Azure, or Google Cloud, along with GPU and TPU-based distributed training environments
• Implement modern MLOps frameworks to support efficient model deployment, governance, observability, reliability, and performance monitoring
• Build, mentor, and lead a high-performing team of AI researchers, machine learning engineers, data engineers, and AI platform specialists
• Partner with engineering, network operations, product, data, security, compliance, and business teams to identify high-value AI use cases and ensure business alignment
• Establish responsible AI practices that address bias, fairness, transparency, model risk, security, and regulatory compliance
• Drive measurable business outcomes through AI-enabled improvements in efficiency, service reliability, customer experience, and operational decision-making.

Head of AI – Platforms

• Lead teams responsible for the design, development and deployment of artificial intelligence solutions (machine learning, generative AI and agentic AI)
• Oversee budget management, unit performance, and embody the organizational culture
• Be accountable for the end-to-end delivery of AI solutions
• Drive the lifecycle management of AI solutions
• Ensure the quality, compliance and performance of delivered AI solutions
• Manage and grow the AI center of expertise

Senior Director – AI Solutions

• Strategy — Refine the ICP, pricing model, and product positioning
• Customer Development — Lead pilots with VPs, operations managers, and merchandise planners at importers, distributors, and multi-channel retail brands, convert them to paid engagements, and build the go-to-market motion
• Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback
• Capital — Lead the seed raise, supported by FutureSight's network and traction
• Team — Recruit and lead the founding team, and establish the cultural foundation of the company

Artificial Intelligence jobs in Canada

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