Jobs in Canada

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Added 11 mins ago
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Concepteur De Structures / Structural Designer
Actalent
MB · Saint-Laurent, MB
- $40 to $70 CAD / hour
- Contract
Servir d'autorité technique disciplinaire pour les questions d'intégration les plus complexes ou à fort impact.
Added 11 mins ago
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AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate…
Added 41 mins ago
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Senior Salesforce Developer
CGI
Victoria, BC
- Full-time
CGI's Vancouver Salesforce practice is seeking a Senior Salesforce Developer to design and build robust, scalable solutions on the Salesforce platform for our public sector and healthcare…
Added 42 mins ago
Manager Marketing
Gildan
Mississauga, ON
Lead in setting up seasonal launches in the company’s Enterprise Resource Planning (ERP) systems such as Workfront and Product Lifecycle Management, completing assigned tasks and…
Added 1 hour ago
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Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Ottawa, ON
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Saint John, NB
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Fredericton, NB
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
RC
Management Consulting Director, Technology
RSM Canada
Toronto, ON
- Full-time
Assess existing IT and enterprise architecture and develop future-state architectures that support scalability, integration, modernization, and business objectives.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Toronto, ON
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Burlington, ON
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
BT
Accounting Technician, Private Enterprise
Baker Tilly Canada
Dartmouth, NS
- Full-time
Work-life integration (professional flexibility, working remotely opportunities, compressed work weeks, EFAP)
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
AB · Edmonton, AB
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Vancouver, BC
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Winnipeg, MB
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Calgary, AB
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Halifax, NS
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Victoria, BC
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Regina, SK
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Moncton, NB
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Kitchener, ON
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
D
Oracle Cloud ERP - Order-to-Cash (O2C) Consultant
Deloitte
Saskatoon, SK
- Full-time
Support data integration between Oracle EPM, Oracle ERP Cloud, CRM, and other enterprise applications.
Added 1 hour ago
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Sr. Cloud Applications Developer (AS/400)
OpenText
Waterloo, ON
- Full-time
Knowledge of XML, EDI, AS2, FTP, and PGP, including their use in enterprise data exchange, secure file transfer, and system integration.
Added 1 hour ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Richmond Hill, ON
- Full-time
Knowledge of XML, EDI, AS2, FTP, and PGP, including their use in enterprise data exchange, secure file transfer, and system integration.
Added 1 hour ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Mississauga, ON
- Full-time
Knowledge of XML, EDI, AS2, FTP, and PGP, including their use in enterprise data exchange, secure file transfer, and system integration.

Coforge

Artificial Intelligence Architect

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 29, 2026

Original job description

Role Summary / Mission

Design and build AI-Enhanced Software Engineering Platform to accelerate software development and improve developer effectiveness, code quality, and engineering consistency. This is a hands-on platform design and implementation role, not an AI-model development or data-science role. The resource will prioritize pragmatic, high-value MVPs and develop reusable, modular, plug-and-play capabilities that integrate across evolving engineering toolchains.

Key Responsibilities

Assess the current implementation, define target architecture, transition roadmap, and appropriately scoped MVPs based on value, risk, urgency, and implementation effort.
Prepare architecture, detailed design, security, data-flow, integration, deployment, and operational-support documentation.
Present designs and obtain alignment from Information Security, Architecture Review Board, AI Centre of Excellence, Cloud Engineering, Privacy, Risk, and other stakeholders.
Design and implement modular platform capabilities for governed LLM access, context engineering, enterprise knowledge retrieval, workflow orchestration, security, evaluation, governance, and observability.
Develop and productionize prioritized engineering productivity use cases, initially integrating with GitHub Copilot, Azure DevOps repositories, work items, pipelines, service hooks, and enterprise knowledge sources.
Design tool-agnostic interfaces supporting the planned transition to GitLab for repositories, CI/CD and security scanning, and Jira and Confluence for requirements and project documentation.
Pair with internal engineers to create reference implementations, standards, architecture decisions, runbooks, and knowledge transfer

Required Experience & Skills

Enterprise AI platform engineering: Hands-on experience designing and productionizing secure, reusable enterprise AI platforms using managed foundation-model services, rather than developing or training AI models.
GitHub Copilot and governed model access: Experience with GitHub Copilot enterprise capabilities, model selection, licensing and usage controls, and Microsoft-managed access to approved LLMs. Ability to design platform integrations that comply with approved model-access patterns and avoid unmanaged direct connections to public AI providers.
Context engineering: Strong knowledge of prompt and context design, token management, structured outputs, tool calling, workflow state, grounding, citations, provenance, and prompt and model versioning.
RAG and vector retrieval: Hands-on experience with embeddings, chunking, metadata design, semantic and hybrid search, retrieval evaluation, and technologies such as Azure AI Search, PostgreSQL with pgvector, or equivalent.
Toolchain integration and portability: Strong experience with APIs, webhooks, abstraction layers, Azure DevOps, GitLab, Jira, Confluence, CI/CD, repositories, branch and pull-request controls, SAST, DAST, and software-composition analysis; able to design replaceable, loosely coupled components.
Knowledge architecture: Experience modelling enterprise knowledge, taxonomies, entity relationships, metadata, and provenance using knowledge-graph or graph technologies where justified by the use case.
AI gateway and model access: Experience implementing governed access to multiple approved LLMs, including model routing, provider abstraction, authentication, policy enforcement, retries, rate limits, token and cost monitoring, model allowlisting, safety controls, and telemetry.
Security and observability: Strong experience with Microsoft Entra ID, managed identities, Azure Key Vault, least-privilege access, sensitive-data controls, prompt-injection defences, content safety, secure tool execution, audit logging, and OpenTelemetry or Application Insights.

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More about this job

Responsibilities

Assess the existing implementation and define the target architecture, transition roadmap, and value-focused MVPs, producing the necessary design, security, integration, deployment, and operational documentation. Build and productionize modular, secure AI platform capabilities and engineering productivity use cases, integrate them with current and planned toolchains, and support internal engineers through reference implementations and knowledge transfer.

Requirements

Requires hands-on experience designing and productionizing secure enterprise AI platforms using managed foundation-model services, with expertise in governed LLM access, GitHub Copilot, context engineering, RAG, and vector retrieval. Candidates should also have strong toolchain integration, security, governance, and observability experience across relevant Microsoft Azure and software engineering platforms.

Skills

Enterprise AI Platform Engineering
GitHub Copilot
Governed LLM Access
Context Engineering
Retrieval-Augmented Generation
Vector Search
Toolchain Integration
Azure DevOps
GitLab
Jira
Confluence
AI Gateway Design
Microsoft Entra ID
Azure Key Vault
Security and Observability
OpenTelemetry

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI Platform
Managed Foundation Models
GitHub Copilot
Azure DevOps
GitLab
Jira
Confluence
LLM Gateway
Model Routing
Context Engineering
Prompt Versioning
Retrieval-Augmented Generation
Embeddings
Azure AI Search
PostgreSQL
pgvector
Knowledge Graphs
CI/CD
Webhooks
SAST
DAST
Software Composition Analysis
Microsoft Entra ID
Managed Identities
Azure Key Vault
Prompt-Injection Defense
Content Safety
OpenTelemetry
Application Insights
Information Security

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