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Tookli

AI Integration Manager

Mascouche, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: May 1, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Description Tookli is a digital innovation company that helps businesses and entrepreneurs transform their ambitions into impactful web, mobile, and AI-driven solutions. The team focuses on web and mobile development, artificial intelligence, automation, and custom digital tools that streamline operations and support business growth. Tookli combines technical expertise with creativity and a practical mindset to deliver scalable solutions tailored to each client’s needs. The company embraces collaboration, problem-solving, and continuous innovation to tackle complex digital challenges and build what comes next for its clients.

Role Description The AI Integration Manager is a full-time on-site role based in Montreal, QC, responsible for leading the planning, implementation, and optimization of AI and automation solutions across client projects. This role manages end-to-end AI integration, including assessing business requirements, selecting appropriate tools and models, and overseeing deployment into existing systems and workflows. The AI Integration Manager collaborates closely with developers, product owners, and clients to design use cases, define technical specifications, and ensure solutions are secure, scalable, and aligned with business objectives. Day-to-day tasks include coordinating project timelines, performing technical evaluations and testing, maintaining documentation, and monitoring performance to identify opportunities for improvement. The role also involves staying informed about emerging AI technologies, advising stakeholders on best practices, and helping shape internal processes and standards for AI adoption.

Qualifications

Strong foundation in AI and automation technologies, including experience integrating machine learning models, APIs, and automation platforms into web or mobile applications.
Proficiency in technical project management, with skills in requirements gathering, roadmap planning, and coordinating cross-functional teams in a software development environment.
Knowledge of software engineering concepts, system architecture, and data workflows to ensure robust, secure, and scalable AI implementations.
Ability to analyze business processes, identify opportunities for AI-driven optimization, and translate complex technical topics into clear, actionable recommendations for stakeholders.
Excellent communication, collaboration, and stakeholder management skills, with the ability to work closely with clients, developers, and non-technical team members.
Experience with testing, monitoring, and iterating on deployed AI solutions, including performance evaluation and risk mitigation.
Bachelor’s degree in computer science, engineering, data science, or a related field, or equivalent practical experience.
Experience in a consulting, agency, or digital product environment is an asset, as well as familiarity with agile methodologies.
Comfort working on-site in Montreal, QC, and collaborating in both English and French is considered an advantage.

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More about this job

Responsibilities

Lead end-to-end planning, implementation, deployment, and optimization of AI and automation solutions across client projects, ensuring they are secure, scalable, and aligned with business objectives. Coordinate project timelines and cross-functional teams, evaluate and test solutions, maintain documentation, monitor performance, and advise stakeholders on AI adoption and best practices.

Requirements

Requires a strong foundation in AI and automation, experience integrating machine learning models, APIs, and automation platforms, and proficiency in technical project management and software engineering concepts. A bachelor’s degree in computer science, engineering, data science, or a related field - or equivalent practical experience - is required, along with strong communication and stakeholder collaboration skills.

Skills

AI Integration
Automation
Machine Learning
API Integration
Technical Project Management
Requirements Gathering
Roadmap Planning
System Architecture
Data Workflows
Software Engineering
Testing and Monitoring
Performance Evaluation
Risk Mitigation
Stakeholder Management
Agile Methodologies
Client Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Integration
Automation
Machine Learning Models
APIs
Automation Platforms
Web Applications
Mobile Applications
Technical Project Management
Requirements Gathering
Roadmap Planning
System Architecture
Data Workflows
Software Engineering
Technical Specifications
Deployment
Testing
Performance Monitoring
Performance Evaluation
Risk Mitigation
Agile Methodologies
Client Projects
Business Process Optimization
Secure and Scalable Solutions
AI Adoption

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