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Technical Architect
Mphasis
Toronto, ON
Full-time
We are looking for an experienced MLOPs / LLMOPs Engineer with a strong background in deploying and monitoring machine learning and large language model (LLM) pipelines. The ideal candidate…
AI/ML DevOps Developer
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
Full-time
…capabilities. You’ll work in close collaboration with the AI Architect and the members of the LLMOps squad to ensure the reliability, security and automation of all platform components.…
Director, Enterprise Machine Learning Frameworks & Operations
CIBC
Toronto, ON
Full-time
…development, and scaling of enterprise-wide ML Operations (MLOps / LLMOps) capabilities. This role is pivotal in establishing AI at scale by driving operational efficiency, reliability, and…
Senior AI Lead -Snowflake
Accenture
Remote, Canada
Full-time · Remote
Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle.
Senior AI Lead: Databricks
Accenture
Remote, Canada
Full-time · Remote
Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle.
Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
Slalom
Montreal, Quebec
Full-time
Recommander et mettre en œuvre des architectures pour les pipelines de modèles et d’agents, CI/CD, les tests, le déploiement, l’observabilité et les pratiques MLOps et LLMOps à grande…
Account Executive - Greenfield - Toronto
Weights & Biases
Toronto, ON
Full-time
Background selling AI/ML, MLOps, LLMOps, or adjacent developer tooling alongside infrastructure products
Chief Artificial Intelligence Architect
National Bank of Canada
Montreal, QC
Full-time
Solid knowledge of data platforms, MLOps / LLMOps, and cloud-native AI services such as AWS and Azure.
AI and Data - Manager - AI Engineer
EY
Toronto, ON
Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD,…
AI/ML Architect-Accenture Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
Full-time
Run MLOps / LLMOps pipelines for model training, deployment, monitoring, and lifecycle.
Lead AI Security Automation Engineer
State Street
Toronto, ON
Full-time
Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Senior AI Security Automation Engineer
State Street
Toronto, ON
Full-time
Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Account Executive - Greenfield - Toronto
CoreWeave
Toronto, ON
Background selling AI/ML, MLOps, LLMOps, or adjacent developer tooling alongside infrastructure products
Architect - Machine Learning
Quantiphi
Canada
Full-time
Define architecture standards and reusable patterns for GenAI, ML, MLOps, and LLMOps.
Staff Software Engineer
kadence
Toronto, ON
Full-time
Champion MLOps and LLMOps practices across the development lifecycle
Added 1 day ago
Presales Solutions Architect
Centrilogic
Toronto, ON
Full-time
Presales Solution Architect, Cloud, AI and Data
Account Solution Architect
CoreWeave
Toronto, ON
Full-time
Background in ML Engineering, AI Engineering, MLOps, or LLMOps
Principal AI Engineer
RBC
Calgary, AB
Full-time
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
Senior Data & AI Architect
SMS Equipment Inc.
Acheson, AB
Full-time
…deployment, monitoring, and continuous improvement through DataOps, MLOps, and…
Sr Director, Enterprise Data and AI Platform
Dayforce
Canada
Establish enterprise MLOps and LLMOps practices for machine learning and generative AI, including model lifecycle management, prompt and model evaluation, monitoring, observability,…
Senior Data Scientist, Commercial
HelloFresh
Toronto, ON
Contribute to the development, implementation, and governance of the global MLOps and LLMOps platforms in Canada.
Sr. AI Engineer
Softchoice
NL · Toronto, ON · Ottawa, ON · Oakville, ON · Calgary, AB · NB · NS · AB · BC · British Columbia, Brit · Nova Scotia, Nova
Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).
Account Solution Architect
CoreWeave
Toronto, ON
Background in ML Engineering, AI Engineering, MLOps, or LLMOps
Principal Enterprise Architect, AI Platform
Priceline
Toronto, Ontario
Full-time
Modernize Model Lifecycles: Standardize LLMOps and MLOps patterns using model gateways and automated pipelines (Vertex AI, Composer) to ensure governed, self-service access.
Principal Architect - AI and Data Platforms
Canadian Tire Corporation
Calgary, AB · Mississauga, ON · Oakville, ON · Toronto, ON
Full-time
As a Principal Architect – AI & Data Platforms, you will play a pivotal leadership role within the Enterprise AI and Emerging Technology team, responsible for shaping and executing the…

SMS Equipment Inc.

Senior Data & AI Architect

Acheson, AB, T7X 6P9, Canada

Job type: Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

Lead the design and implementation of enterprise-wide Data and AI architecture to support scalable analytics and generative AI solutions. Collaborate with business stakeholders and technical teams to define technology roadmaps, governance standards, and AI-driven business transformation initiatives.

Requirements

Requires a bachelor's degree in a relevant field and at least 5 years of experience in data or AI architecture and enterprise technology leadership. Candidates must possess deep expertise in cloud-native platforms, modern data architectures, and the ability to align technical strategies with business objectives.

Experience

5 to 10 years

Education

bachelor degree

Working hours

40 hours per week

Work arrangement

Hybrid

Skills

Data architecture
AI architecture
Generative AI
Cloud-native platforms
Microsoft Fabric
Azure AI
Azure Databricks
Azure Synapse Analytics
Power BI
Copilot Studio
Data governance
Machine learning
DataOps
MLOps
LLMOps
Strategic planning

Benefits

Competitive wages
Comprehensive group benefits plan
RRSP matching

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
AI Architecture
Generative AI
Microsoft Fabric
Azure AI
Azure Databricks
Azure Synapse Analytics
Power BI
Copilot Studio
DataOps
MLOps
LLMOps
RAG
Vector Databases
Data Governance
Responsible AI
Cloud-native
Business Intelligence
Machine Learning
Enterprise Architecture
Technology Roadmap
Analytics
Agentic AI
Data Ingestion
Feature Engineering
Model Lifecycle Management
Privacy
Compliance
Stakeholder Engagement
Strategic Leadership

Original job description

SMS Equipment is seeking a strategic and technically accomplished Senior Data & AI Architect to lead the design and implementation of the organization's enterprise Data & AI architecture. In this role, you will enable scalable analytics, AI-driven solutions, and enterprise-wide adoption of generative AI capabilities while supporting business transformation through data, artificial intelligence, and advanced analytics initiatives.

Working closely with the Director, Artificial & Business Intelligence, enterprise architecture teams, business stakeholders, OEM partners, and customers, you will ensure Data & AI platforms align with business strategy, enterprise technology standards, security frameworks, and responsible AI governance practices.

Work Location: Acheson, AB
Work Arrangement: Hybrid or Fixed On-Site
Schedule: 8:00 am to 4:30 pm

What You'll Do

Lead the design and evolution of enterprise Data & AI architecture supporting business intelligence, analytics, machine learning, generative AI, optimization, and simulation solutions.
Develop architecture standards, integration patterns, and technology roadmaps aligned with enterprise architecture principles, business objectives, and technology standards.
Define architectural approaches for Microsoft Copilot, knowledge assistants, vector databases, Retrieval Augmented Generation (RAG), and emerging agentic AI systems.
Design scalable Data & AI platforms supporting data ingestion, quality management, feature engineering, model development, deployment, monitoring, and continuous improvement through DataOps, MLOps, and LLMOps.
Support Data Governance, Responsible AI, compliance, model lifecycle management, and evaluation of emerging technologies across AI, analytics, and data ecosystems.
Partner with business leaders to identify Data, AI, and Business Intelligence opportunities while mentoring Data Scientists, BI Analysts, and AI Engineers and fostering innovation, collaboration, and continuous improvement.

What You Bring

You are an experienced technology leader with deep expertise in enterprise Data & AI architecture, cloud platforms, analytics ecosystems, and business transformation. You possess strong strategic thinking, technical leadership, and stakeholder engagement skills, with the ability to translate business needs into scalable and governed solutions.

Additional qualifications include:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, Analytics, or related discipline.
5+ years of experience in Data Architecture, AI Architecture, Business Intelligence, Analytics, or Enterprise Technology Leadership.
Strong expertise in modern data architectures, cloud-native platforms, and tools such as Microsoft Fabric, Azure AI, Azure Databricks, Azure Synapse Analytics, Power BI, and Copilot Studio.
Experience designing scalable AI, machine learning, and generative AI solutions within governed enterprise environments.
Knowledge of Responsible AI, data governance, privacy, compliance, and enterprise architecture principles.
Demonstrated ability to build technology roadmaps, align architecture strategies with business objectives, and mentor technical teams.

Nice to Haves

Bilingual English and French
Enterprise-wide AI transformation experience
Experience with Microsoft Copilot, RAG, knowledge assistants, or agentic AI
Industry experience in mining, construction, heavy equipment, energy, forestry, or industrial operations
Relevant certifications in cloud, AI, data engineering, enterprise architecture, or analytics

This position is classified as an Individual Contributor role in SMS Equipment’s competency framework, requiring demonstration of core competencies (customer focus, collaboration, and technical/functional expertise).

At SMS Equipment, safety is one of our core values and we care for each other, without exception. Our successful candidate is intrinsically motivated and committed to making safe choices when completing all tasks.

This posting is for an existing vacancy within SMS Equipment. Applications will be accepted until a suitable candidate is hired.

We thank all applicants for their interest. Only those selected to proceed to the next stage of the recruitment process will be contacted.

At SMS Equipment, the right partnership makes everything possible. We're committed to building a diverse and inclusive team and encourage applications from all qualified individuals. Join us and bring your expertise to an organization that values safety, authenticity, innovation, performance, and respect.

SMS Equipment offers rewarding careers in the heavy equipment industry across Canada. As the largest Komatsu dealer in North America, SMS Equipment gives you the opportunity to represent world-class quality in our product offerings and customer service. A few of the many benefits of working with SMS Equipment include competitive wages, comprehensive group benefits plan, and RRSP matching.

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