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Added 3 mins ago
AM
Systems Design Engineer 2
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…things like Telemetry testing (PLDM, Redfish), FW Loading and Security related to FW. You will be part of the Graphics Data Center and Accelerated Processing Validation team. We are looking…
Added 3 mins ago
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Manager, Cybersecurity
KPMG
Calgary, AB
- Full-time
Proven experience in defining and/or implementing security controls across multiple layers of the technology architecture stack.
Added 3 mins ago
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Consultant, Cybersecurity
KPMG
Calgary, AB
- Full-time
Experience in defining and/or implementing security controls across multiple layers of the technology architecture including on-prem and cloud-based environments, including operating…
Added 18 mins ago
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Dynamics 365 CRM Solution Engineer
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Added 33 mins ago
NB
QRM CHIEF DEVELOPER
National Bank of Canada
Toronto, ON
- Full-time
Experience installing and supporting QIS, ERF, MR and QRM Framework components, with knowledge of ERF and MR architecture and processes.
Added 33 mins ago
NB
CHIEF DEVELOPER FULLSTACK - PYTHON
National Bank of Canada
Montreal, QC
- Full-time
…lifecycle and work on concrete challenges related to performance, security, and resilience, in an environment where collaboration and code quality are…
Added 33 mins ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
Advanced knowledge of software architecture, cloud-native design, application programming interfaces, integration patterns, scalability, resiliency, observability, and security.
Added 33 mins ago
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Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators
Added 33 mins ago
NE
Global Director of Impact & Knowledge Management
New Energy Nexus
Remote, Canada
- Full-time
- Remote
Knowledge Management, Data Architecture & Impact Reporting (30%)
Added 33 mins ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
Translate functional requirements into solution designs across FSC, Marketing Cloud, Data 360, integrations, security, and reporting.
Added 2 hours ago
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AI Architect
Coforge
Canada
- Contract
Establish enterprise architecture standards, security controls, reference implementations, design documentation, and operational runbooks.
Added 2 hours ago
LM
Cybersecurity Verification & Validation (V&V) Test Engineer
Lockheed Martin
Halifax, NS
- $91,250 to $119,750 CAD / year
- Full-time
…requirements analysis; derivation and traceability management; system architecture development; configuration management; requirements verification; hardware and software engineering…
Added 2 hours ago
A
Administrateur·rice systèmes senior – Senior Systems Administrator
ALFACONSEIL.CA
Bas-Saint-Laurent, QC
- Full-time
The successful candidate will play a key role in Windows Server administration, cloud resource management, access security and network infrastructure maintenance. They will also contribute…
Added 2 hours ago
RB
Senior Software Developer, Workday Integrations & Extend
Royal Bank of Canada
Toronto, ON
- Full-time
Design and build end-to-end Workday integration & Extend solution’s, ensuring scalability, security, performance, and long-term maintainability.
Added 3 hours ago
Senior Network Analyst
Affinity Credit Union
Saskatoon, SK
…deployment for remote branches, Cisco Radius and TACACS+, AAA security and software solution within an 802.1x…
Added 3 hours ago
NS
Network & Infrastructure Integration Engineer
N2P Systems
Montreal, QC
- Full-time
The ideal candidate will bring a strong understanding of enterprise networking, cloud connectivity, infrastructure architecture, security controls, and production readiness processes. You…
Added 4 hours ago
CC
Teamcenter PLM Consultant
Cuatro Consulting Inc.
Mississauga, ON
- Full-time
…AI-enabled services, with a strong focus on reliability and security. Through its eStaff Agency, Cuatro Consulting provides tailored AI and IT talent, leveraging recruiters with hands-on…
Added 4 hours ago
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Strategic A&E Consultant Manager - Canada
Gallagher
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
As Strategic A&E Consultant Manager, you'll strengthen Gallagher Security's position within the Canadian architecture, engineering, and security consultant community. Given the bilingual…
Added 4 hours ago
M
RQ11734 - Business Analyst - Senior
Maarut
Toronto, ON
- Contract
security, accessibility, data, and testing activities.
Added 4 hours ago
M
RQ11741 - Product Manager - Senior
Maarut
Toronto, ON
- Contract
across program, policy, service design, UX, business analysis, architecture,
Added 4 hours ago
SG
People & Culture Coordinator
SJ Group
Toronto, ON
- Full-time
Headquartered in Singapore, the Group brings together specialist businesses across architecture, engineering, design and consultancy, including AETOS, Atelier Ten, B+H, KTP, Prostruct,…
Added 4 hours ago
A
InfraSec Project Manager
Affinity
Burnaby, BC
- Contract
Ensure technology integration strategies align with enterprise architecture and security principles
Added 4 hours ago
IS
Network Designer - Senior
Innova Solutions
Toronto, ON
- $600 to $620 CAD / day
- Full-time
Secure Architecture (SASE / Zero Trust): Demonstrated ability to apply standard security controls (firewalls, segmentation)
Added 4 hours ago
AC
Data Analytics Manager
Amphenol Communications Solutions
Markham, ON
- Full-time
…reporting patterns, and performance improvements within enterprise architecture, security, and governance…
Added 4 hours ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
Knowledge of data governance, security, and AWS best practices.

Coforge

AI Architect

Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Oct 29, 2026

Original job description

🚀 Hiring: AI Architect – Enterprise AI Platform

We are looking for an experienced AI Architect to design and build an enterprise-grade, AI-enhanced software engineering platform that improves developer productivity, code quality, and engineering effectiveness.

This is a hands-on architecture and platform engineering role focused on integrating enterprise AI capabilities into software development workflows. The ideal candidate combines strong enterprise architecture skills with practical experience building secure, scalable, governed AI platforms using managed LLM services.

🔑 Key Skills & Expertise

Enterprise AI Architecture & Platform Engineering – Designing and productionizing secure, reusable AI platforms using managed foundation-model services.
LLM Integration & Governance – Governed model access, AI gateways, model routing, authentication, usage controls, and cost monitoring.
GitHub Copilot Enterprise – Enterprise adoption, model selection, licensing, usage governance, and developer workflow integration.
Context Engineering – Prompt design, token management, structured outputs, tool calling, grounding, citations, and workflow orchestration.
RAG & Vector Search – Retrieval-augmented generation, embeddings, chunking, hybrid search, retrieval evaluation, Azure AI Search, and PostgreSQL with pgvector.
Developer Toolchain Integration – Azure DevOps, GitLab, GitHub, Jira, Confluence, REST APIs, webhooks, CI/CD, and software development workflows.
Cloud Security & AI Governance – Microsoft Entra ID, managed identities, Azure Key Vault, least-privilege access, prompt-injection defence, privacy, and auditability.
Observability & Production Readiness – OpenTelemetry, Azure Application Insights, telemetry, performance monitoring, reliability, and cost optimization.
Enterprise Knowledge Architecture – Knowledge modelling, metadata, taxonomies, provenance, and knowledge graphs where appropriate.

🎯 Key Responsibilities

Define the target-state AI architecture, implementation roadmap, and prioritized MVPs based on business value, risk, and delivery effort.
Design and implement reusable platform capabilities for governed LLM access, context engineering, enterprise knowledge retrieval, workflow orchestration, evaluation, and observability.
Integrate AI capabilities into developer workflows, initially leveraging GitHub Copilot and Azure DevOps repositories, work items, pipelines, and service hooks.
Design tool-agnostic integration patterns to support evolving engineering ecosystems, including GitLab, Jira, and Confluence.
Establish enterprise architecture standards, security controls, reference implementations, design documentation, and operational runbooks.
Collaborate with Information Security, Cloud Engineering, Privacy, Risk, Architecture Review Board, and AI governance stakeholders.
Partner with engineering teams through hands-on implementation, technical guidance, design reviews, and knowledge transfer.
Define evaluation and monitoring practices to measure AI quality, developer productivity, reliability, security, and cost effectiveness.

✅ Required Experience

Proven experience in enterprise AI architecture, AI platform engineering, and production LLM integration.
Hands-on experience with managed LLM services and enterprise AI governance patterns.
Strong understanding of RAG, vector retrieval, context engineering, and AI workflow orchestration.
Experience integrating enterprise platforms through APIs, webhooks, and modular abstraction layers.
Strong knowledge of Azure cloud security, identity management, data protection, and observability.
Experience with modern software engineering toolchains, CI/CD, source control, and application security practices.
Ability to translate enterprise requirements into secure, scalable architectures and deliver pragmatic, production-ready MVPs.
Excellent communication and stakeholder management skills, with the ability to influence architecture decisions and mentor engineering teams.

⭐ What Makes This Role Unique?

This role offers the opportunity to shape an enterprise AI platform from architecture through implementation, enabling responsible AI adoption across software engineering teams.

The focus is on building practical AI capabilities, not training AI models - connecting approved LLMs, enterprise knowledge, and engineering tools through secure, reusable, and measurable platform services.

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More about this job

Responsibilities

Define the target AI architecture, roadmap, and MVPs, then build reusable platform capabilities for governed LLM access, knowledge retrieval, workflow orchestration, evaluation, and observability. Integrate AI into developer toolchains, establish security and architecture standards, and collaborate with stakeholders and engineering teams to measure quality, productivity, reliability, and cost.

Requirements

Requires proven experience in enterprise AI architecture, AI platform engineering, production LLM integration, and managed AI governance, along with hands-on knowledge of RAG, vector retrieval, context engineering, and workflow orchestration. Candidates should also bring Azure security and observability expertise, experience integrating enterprise platforms and software toolchains, and strong communication and stakeholder-management skills.

Skills

Enterprise AI Architecture
AI Platform Engineering
Managed LLM Services
AI Governance
GitHub Copilot Enterprise
Context Engineering
Retrieval-Augmented Generation
Vector Search
Azure AI Search
PostgreSQL With Pgvector
Azure DevOps
Cloud Security
Microsoft Entra ID
Observability
Enterprise Knowledge Architecture
Workflow Orchestration

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI Architecture
AI Platform Engineering
Managed Foundation Models
LLM Integration
AI Gateways
Model Routing
GitHub Copilot Enterprise
Prompt Design
Token Management
Structured Outputs
Tool Calling
Grounding
Citations
Retrieval-Augmented Generation
Embeddings
Hybrid Search
Azure AI Search
PostgreSQL
Pgvector
Azure DevOps
GitLab
GitHub
Jira
Confluence
REST APIs
Webhooks
CI/CD
Microsoft Entra ID
Azure Key Vault
OpenTelemetry

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