Hybrid schedule - Downtown Toronto, ON - 3 days a week IntePros is partnering with a high-growth, technology-driven organization to identify a Director of AI to lead the design, development, and deployment of advanced AI and machine learning solutions across the business. This role sits at the intersection of hands-on engineering, architecture, and strategic leadership, with a strong focus on applying modern AI, including large language models, to real-world business problems. The ideal candidate will be a builder at heart who can both develop solutions and guide broader AI adoption across the organization. Responsibilities Lead the design and implementation of scalable AI/ML solutions, including LLM-based and traditional machine learning models Build and deploy AI-powered applications, ensuring performance, reliability, and scalability in production environments Partner cross-functionally with engineering, product, and business stakeholders to identify high-impact use cases and translate them into actionable solutions Architect end-to-end AI systems, including data pipelines, model training, inference workflows, and integration into existing platforms Evaluate and integrate emerging AI technologies, tools, and frameworks Establish best practices for AI development, governance, monitoring, and ongoing optimization Provide technical leadership and mentorship to engineering teams, guiding architecture decisions and implementation approaches Drive AI adoption across the organization, communicating technical concepts and business value to both technical and non-technical stakeholders Stay current with advancements in generative AI, LLMs, and broader machine learning ecosystems Qualifications 7+ years of experience in AI/ML, data science, or related technical fields Proven experience building and deploying AI/ML solutions in production environments Strong expertise in large language models (e.g., GPT, LLaMA, BERT) and modern AI frameworks Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices Strong understanding of data engineering concepts, including working with structured and unstructured data Ability to design scalable architectures and integrate AI systems into enterprise environments Excellent communication skills with the ability to translate complex AI concepts into business impact Preferred Experience Experience with generative AI use cases such as copilots, chatbots, or workflow automation Familiarity with retrieval-augmented generation (RAG) and vector databases Experience with containerization (Docker, Kubernetes) and CI/CD pipelines Exposure to AI governance, security, and regulatory considerations What Success Looks Like Successfully identifies and prioritizes high-impact AI use cases aligned to business goals Delivers production-ready AI solutions that drive measurable outcomes Establishes scalable frameworks for ongoing AI development and deployment Builds credibility across technical and business teams as a trusted AI leader No sponsorship for this role. Candidates must be Canadian Permanent Residents. #J-18808-Ljbffr
A technology-driven organization in Toronto is seeking a Director of AI to spearhead the design, development, and deployment of innovative AI and machine learning solutions. This role encompasses leadership in building scalable AI systems while collaborating across departments to ensure successful AI adoption. The ideal candidate has over 7 years of experience in AI/ML and must show proficiency in large language models and programming with Python. Candidates must be Canadian Permanent Residents. #J-18808-Ljbffr
Become a key leader in AI strategy and implementation to drive business innovation. This hybrid role focuses on the practical application of modern AI technologies to achieve business objectives. As the Director of AI, you'll lead the design and deployment of transformative AI solutions. Your role encompasses working closely with diverse teams to build applications, ensuring they are scalable and impactful. With your expertise in large language models and hands-on leadership, you will guide the organization toward effective AI adoption and integration. Key Responsibilities: • Direct the design of scalable AI and ML solutions • Build and implement AI-driven applications in production • Collaborate cross-functionally to identify and execute use cases • Architect AI systems and manage data workflows • Lead technical mentorship and facilitate communication Requirements: • 7+ years in AI, ML, or relevant technical fields • Proven history of developing AI solutions for production • Expertise in large language models and AI frameworks • Proficiency in Python and machine learning tools • Strong understanding of cloud technologies and MLOps Leverage your strategic vision in AI to foster innovation and enhance operational capabilities across the organization. #J-18808-Ljbffr
A leading technology firm in Toronto is seeking a Senior Data Architect to lead cloud-native data architecture initiatives. This leadership role involves defining standards and governance across enterprise data systems. Responsibilities include architecting data solutions, implementing data quality frameworks, and mentoring Data Engineers. The ideal candidate has over 7 years of experience in data architecture, strong SQL skills, and familiarity with DBT and orchestration tools. This is a hybrid role working on-site three days a week. #J-18808-Ljbffr
Toronto, ON | Hybrid 3 Days Onsite | 145k–165k CAD Base
About The Opportunity
IntePros is partnering with an innovative, data-forward organization in the hospitality technology space seeking a Senior Data Architect to lead cloud-native data architecture initiatives. This is a highly visible leadership role responsible for defining standards, governance, and scalable design patterns across enterprise data systems.
This individual will influence the future state of data infrastructure, ensuring platforms support analytics, operational reporting, and emerging AI/ML use cases.
What You’ll Do
Define and maintain enterprise data architecture standards and blueprints
Architect cloud-native data solutions across AWS or equivalent platforms
Establish and enforce modeling standards including dimensional, denormalized, and AI-friendly schema design
Lead the design of transformation layers using DBT
Architect orchestration patterns for batch, streaming, and event-driven pipelines
Define data quality frameworks, SLAs, validation processes, and monitoring standards
Implement governance models covering lineage, cataloging, classification, and access control
Mentor Data Engineers and review architecture and pipeline design
Collaborate cross-functionally to align architecture with business strategy
What We’re Looking For
7+ years of experience in data architecture or senior data engineering roles
5+ years designing cloud-based data architectures
Advanced SQL expertise
Strong experience with DBT and orchestration tools such as Airflow or Prefect
Experience designing data warehouses using star and snowflake schemas
Experience implementing governance and data quality frameworks
Familiarity with supporting AI and advanced analytics workloads
Prior experience in hospitality, travel tech, marketplace, fintech, or high-transaction environments is a plus
This role requires candidates to be based in Toronto and available for a hybrid onsite schedule three days per week once the downtown office opens.
No sponsorship for this role. Candidates must be Canadian Permanent Residents.
#J-18808-Ljbffr
Become a key leader in AI strategy and implementation to drive business innovation. This hybrid role focuses on the practical application of modern AI technologies to achieve business objectives.
As the Director of AI, you'll lead the design and deployment of transformative AI solutions. Your role encompasses working closely with diverse teams to build applications, ensuring they are scalable and impactful. With your expertise in large language models and hands-on leadership, you will guide the organization toward effective AI adoption and integration.
Key Responsibilities:
• Direct the design of scalable AI and ML solutions
• Build and implement AI-driven applications in production
• Collaborate cross-functionally to identify and execute use cases
• Architect AI systems and manage data workflows
• Lead technical mentorship and facilitate communication
Requirements:
• 7+ years in AI, ML, or relevant technical fields
• Proven history of developing AI solutions for production
• Expertise in large language models and AI frameworks
• Proficiency in Python and machine learning tools
• Strong understanding of cloud technologies and MLOps
Leverage your strategic vision in AI to foster innovation and enhance operational capabilities across the organization.
#J-18808-Ljbffr
Hybrid schedule - Downtown Toronto, ON - 3 days a week
IntePros is partnering with a high-growth, technology-driven organization to identify a Director of AI to lead the design, development, and deployment of advanced AI and machine learning solutions across the business.
This role sits at the intersection of hands-on engineering, architecture, and strategic leadership, with a strong focus on applying modern AI, including large language models, to real-world business problems. The ideal candidate will be a builder at heart who can both develop solutions and guide broader AI adoption across the organization.
Responsibilities
Lead the design and implementation of scalable AI/ML solutions, including LLM-based and traditional machine learning models
Build and deploy AI-powered applications, ensuring performance, reliability, and scalability in production environments
Partner cross-functionally with engineering, product, and business stakeholders to identify high-impact use cases and translate them into actionable solutions
Architect end-to-end AI systems, including data pipelines, model training, inference workflows, and integration into existing platforms
Evaluate and integrate emerging AI technologies, tools, and frameworks
Establish best practices for AI development, governance, monitoring, and ongoing optimization
Provide technical leadership and mentorship to engineering teams, guiding architecture decisions and implementation approaches
Drive AI adoption across the organization, communicating technical concepts and business value to both technical and non-technical stakeholders
Stay current with advancements in generative AI, LLMs, and broader machine learning ecosystems
Qualifications
7+ years of experience in AI/ML, data science, or related technical fields
Proven experience building and deploying AI/ML solutions in production environments
Strong expertise in large language models (e.g., GPT, LLaMA, BERT) and modern AI frameworks
Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn)
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
Strong understanding of data engineering concepts, including working with structured and unstructured data
Ability to design scalable architectures and integrate AI systems into enterprise environments
Excellent communication skills with the ability to translate complex AI concepts into business impact
Preferred Experience
Experience with generative AI use cases such as copilots, chatbots, or workflow automation
Familiarity with retrieval-augmented generation (RAG) and vector databases
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
Exposure to AI governance, security, and regulatory considerations
What Success Looks Like
Successfully identifies and prioritizes high-impact AI use cases aligned to business goals
Delivers production-ready AI solutions that drive measurable outcomes
Establishes scalable frameworks for ongoing AI development and deployment
Builds credibility across technical and business teams as a trusted AI leader
No sponsorship for this role. Candidates must be Canadian Permanent Residents.
#J-18808-Ljbffr
A technology-driven organization in Toronto is seeking a Director of AI to spearhead the design, development, and deployment of innovative AI and machine learning solutions. This role encompasses leadership in building scalable AI systems while collaborating across departments to ensure successful AI adoption. The ideal candidate has over 7 years of experience in AI/ML and must show proficiency in large language models and programming with Python. Candidates must be Canadian Permanent Residents. #J-18808-Ljbffr
Solution Architect – Digital Transformation/Commerce/eCommerce/Supply Chain
IntePros is partnering with a fast-growing digital transformation services company that helps organizations modernize and optimize their digital operations. Our clients range from mid-sized enterprises to large national brands, and we design and implement complex digital ecosystems spanning commerce, data, and supply chain, seamlessly integrating into core business processes.
As a
Solution Architect , you’ll design and validate technology solutions that drive meaningful business change. You’ll bridge business goals and technical strategy, guiding stakeholders through complex decisions and defining scalable, future-ready architectures. You’ll engage with clients as a trusted advisor, helping shape digital transformation programs and advancing our internal Centre of Excellence by driving architectural best practices.
RESPONSIBILITIES
Design solution architectures leveraging SaaS platforms, cloud-native technologies, and modern digital ecosystems.
Advise clients on digital strategy, organizational change, and adoption of emerging technologies including AI/ML.
Provide technical leadership in agile delivery (SAFe) and collaborate with cross-functional teams to ensure solution alignment and high-quality delivery.
Mentor and inspire technical teams, promoting a culture of continuous learning, accountability, and innovation.
Support pre-sales efforts, solutioning, estimations, and technical workshops.
Drive delivery excellence, customer satisfaction, and thought leadership across the organization.
EXPERIENCE
5+ years as a Solution Architect designing and delivering complex, cross-functional digital solutions.
Proven experience leading digital transformation initiatives with an emphasis on integration, scalable architecture, and alignment to business goals.
Strong understanding of commerce, data, PIM, MDM, and Order Management Systems.
Experience with AI/ML frameworks (TensorFlow, PyTorch) applied to real-world business problems.
Exceptional communication skills and ability to translate complex technical concepts to stakeholders at all levels.
Agile mindset and experience with SAFe or similar frameworks.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
Preferred:
Experience with cloud platforms (AWS, Azure, GCP), modern DevOps practices, headless commerce, microservices, and enterprise eCommerce platforms like Shopify, Salesforce Commerce Cloud, Adobe Commerce, SAP Commerce Cloud, and OMS platforms such as Fluent, Sterling, or Manhattan.
#J-18808-Ljbffr
Elevate business operations as a Solutions Architect in digital transformation and supply chain management. Design integrated solutions powered by SaaS and cloud technology to meet client needs.
With a strong background over 5 years in architecture, you will focus on creating scalable solutions that align with business objectives. You will act as a key advisor, assisting clients in navigating complex technology landscapes and leading agile project teams towards excellence and innovation.
Key Responsibilities:
• Architect solutions using SaaS and cloud-native technologies
• Consult on digital strategy and technology integration
• Lead and collaborate in agile environments
• Mentor technical teams, fostering accountability
• Assist in pre-sales and technical educational sessions
Requirements:
• 5+ years of experience as a Solution Architect
• Background in leading digital transformation efforts
• Expertise in key technology platforms and frameworks
• Knowledge of AI/ML frameworks for business solutions
• Bachelor’s degree in Computer Science or related discipline
Leverage your innovative thinking to enhance digital strategies and drive impactful transformation for organizations.
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