Operations Solutions Architecture Advisor

Levis, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Here's a brief overview of the tasks and responsibilities you'll be able to do:

Identify and describe the functional and technological capabilities required to meet business needs in artificial intelligence;
Design end-to-end artificial intelligence solution architectures by determining the required applications, platforms, services, infrastructure components, data, and integration mechanisms;
Develop IT orientations and architecture files associated with artificial intelligence solutions and platforms;
Integrate functional and non-functional requirements into solutions, including security, availability, performance, resiliency, observability, scalability, and cost containment;
Contribute to the design, evolution and integration of enterprise artificial intelligence platforms and their technological foundations;
Define architectures that enable the secure integration of language models, generative AI services, AI agents, and enterprise data sources;
Determine the mechanisms for accessing AI models and services, including APIs and integration components adapted to modern architectures;
Develop solutions based on Augmented Generation by Recovery (RAG) and agentic architectures where they meet the needs;
Consider AI-ready data needs to enable reliable, governed, and secure use of data;
Collaborate with the various stakeholders to ensure the integration and industrialization of artificial intelligence solutions;
Incorporate security requirements by design, including data protection, identity, access control, secrets management, and securing interfaces and services;
Document solutions using schematics and architecture patterns that clearly present components, exchanges, and dependencies;
Develop transition, co-location, migration and offload strategies when required;
Evaluate technology options and make recommendations based on their value, maturity, risks, security, performance, and integration with the existing technology ecosystem;
Effectively communicate directions and solutions to technical and business audiences;
Actively monitor the evolution of technologies, platforms and practices in artificial intelligence.

The Profile You Are Looking For Is As Follows

Have significant experience as a solution architecture consultant in an enterprise context;
Have concrete experience in the design and implementation of artificial intelligence solutions or platforms;
Have a good understanding of the different components of a modern artificial intelligence ecosystem;
Master the design and integration of generative and agentic artificial intelligence solutions;
Be familiar with language models, APIs, augmented recovery (RAG) generation approaches, and agentic architectures;
Demonstrate strong skills in architecture and integration of platforms, services, data and technology components;
Know how to take into account the requirements of security, availability, performance, resilience, observability, scalability and cost control;
Be able to design solutions that enable reliable, governed, and secure use of data;
Demonstrate excellent communication skills with technical and business stakeholders;
Possess a strong learning capacity in order to keep up with the rapid evolution of technologies and practices in artificial intelligence;
To know and apply the architectural and security norms and standards in force.

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More about this job

Responsibilities

Design end-to-end enterprise AI architectures, integrating applications, platforms, services, infrastructure, data, and APIs while addressing security, performance, resilience, scalability, observability, and cost. Guide the integration and industrialization of generative AI, language models, RAG, and agentic solutions; document architecture decisions, assess technology options, and communicate recommendations to technical and business stakeholders.

Requirements

Requires significant experience as an enterprise solution architecture consultant and concrete experience designing and implementing AI solutions or platforms. Candidates should understand modern AI ecosystems and generative and agentic architectures, have strong integration and security architecture skills, and communicate effectively while keeping current with evolving AI technologies and standards.

Skills

Solution Architecture
Artificial Intelligence
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Enterprise Architecture
Platform Integration
API Integration
Data Governance
Security Architecture
Identity and Access Control
Cloud and Infrastructure Architecture
Performance and Scalability
Resilience and Observability
Stakeholder Communication

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Keywords

Artificial Intelligence
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
AI Agents
Solution Architecture
Enterprise Architecture
AI Platforms
APIs
Integration Mechanisms
Enterprise Data
Data Governance
AI-Ready Data
Security by Design
Data Protection
Identity and Access Control
Secrets Management
Availability
Performance
Resilience
Observability
Scalability
Cost Containment
Architecture Patterns
Migration Strategies
Technology Evaluation
Platform Industrialization
Architecture Standards

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