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Added 6 mins ago
A
Talent Management Consultant
Accenture
Calgary, AB
- Full-time
Work with senior level clients to architect future-proof, agile, and resilient organization and operating models which embrace the future of work
Added 6 mins ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
…implementations, and work closely with architects, developers, and business stakeholders to deliver best-in-class contact center solutions. You are detail-oriented, a strong problem-solver,…
Added 6 mins ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
You won't just be building wrappers around LLMs. You'll architect the 'harness' - the orchestration middleware that manages agentic workflows, handles complex context packing, and…
Added 20 mins ago
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Senior DevOps Developer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
…Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft maintenance ecosystem including…
Added 21 mins ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
…is going and ensuring its transformation delivers measurable business value. You will lead multi-year strategy development, operating model transformation, AI enablement, value realization,…
Added 21 mins ago
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Senior Data Architect
Synechron
Montreal, QC
- Full-time
Added 36 mins ago
SENIOR SYSTEMS INTEGRATOR P&R (UKG Pro Solution Architect)
City of Toronto
Toronto, ON
This is an exciting one-year opportunity within the Business and Technology Transformation Branch to support the implementation of UKG Pro across the Parks and Recreation Division.…
Added 36 mins ago
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Senior Staff Software Engineer - Money Boxes
Nubank
Toronto, ON
- Full-time
…promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and…
Added 36 mins ago
RB
Director, Enterprise Integration Services – OneRBC: CNB Integration
Royal Bank of Canada
Toronto, ON
- Full-time
…RBC operates post-acquisition. In this strategic role, you'll architect and drive the technology integration of City National Bank into RBC's operating model, designing solutions that…
Added 51 mins ago
Manager, Firmware SDK
Nureva
Ottawa, ON · Kanata, Ontario
A minimum of 10 years experience in a software development environment, with at least 2 years in a leadership role or 5 years as a senior developer / architect
Added 51 mins ago
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Service Delivery Manager
N2P Systems
Montreal, QC
- Full-time
Collaborate with technical teams, business stakeholders, and clients to support cloud transformation and modernization initiatives.
Added 1 hour ago
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Analyste financier
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
O
Gestionnaire de produits
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Gestionnaire de produits
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Analyste financier
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Analyste d'affaires TI
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Architecte de solutions, senior
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Analyste d'affaires TI
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Business System Analyst
IMCS Group
ON · Ontario, Canada
- Contract
The business team is responsible for the creation of the L2 Model, supported by the Project Business Analyst, Solution Architect, and TSBI.
Added 1 hour ago
CS
Data Architect
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 1 hour ago
SL
Director, Domain Enterprise Architect (AI)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
The Director, Domain Enterprise Architect (Artificial Intelligence - AI) is accountable for the enterprise AI architecture domain, ensuring all AI, Generative AI, Agentic AI, machine…
Added 1 hour ago
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Architecte PLM Senior / Senior PLM Architect
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Added 1 hour ago
KR
AI Architect
KTek Resourcing
Toronto, ON
- Contract
We are looking for a Technical Architect to design and lead the implementation of a modern digital marketing platform that connects campaign planning, website updates, content production,…
Added 1 hour ago
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Salesforce Solution Architect
iA Financial Group
Vancouver, BC · Toronto, ON · Montreal, QC · Quebec, QC
- $120,000 CAD / year
- Full-time
…expertise to strategic initiatives? As a Salesforce Solution Architect, you will play a key role within the Horizon program, a major transformation initiative in the Group Insurance,…
Added 1 hour ago
IF
Security Solutions Architecture Advisor
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Join our Data Protection team as a Solution Architect. You will play a key role in defining and evolving solutions designed to protect iA’s sensitive information throughout its lifecycle.

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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