Operations Solutions Architecture Advisor

Here's a brief overview of the tasks and responsibilities you'll have :

• 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 technology directions associated with artificial intelligence solutions and platforms;
• Perform solution architecture briefs covering functional and non-functional requirements, including security, availability, performance, resiliency, observability, scalability, and cost containment;
• Contribute to the design and evolution 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;
• Integrate access mechanisms for artificial intelligence models and services using APIs and components adapted to modern architectures;
• Design solutions based on RAG approaches and agentic architectures as needed;
• Consider AI-ready data needs to enable reliable, governed, and secure use of data by artificial intelligence solutions;
• Collaborate with infrastructure, security, data, architecture, development and operations stakeholders to ensure the integration and industrialization of solutions;
• Integrate security requirements by design, including data protection, identity, access control, secrets management, and securing interfaces and services;
• Represent solutions in the form of schematics and architecture models in order to clearly communicate their components, exchanges and dependencies;
• Develop strategies for transition, cohabitation, migration and shedding when required;
• Evaluate technology options and make recommendations based on their value, maturity, risks, security, performance, and integration with the existing ecosystem;
• Effectively communicate complex concepts and recommendations to technical, business and management audiences;
• Apply current norms, standards and guidelines in the design of solutions.

The profile you are looking for is as follows:

• Have a minimum of eight (8) years of relevant experience in information technology, including at least five years in solution architecture;
• Have significant experience in designing, architecting or implementing artificial intelligence solutions or platforms in an enterprise context;
• Have real-world experience in designing or integrating solutions using language models and generative artificial intelligence technologies;
• Master the principles of complex solution architecture and their communication in multi-stakeholder environments;
• Knowledge of modern application architectures, cloud environments, APIs, containerization, and orchestration platforms;
• Understand modern data architectures supporting AI use cases as well as practices to make data AI-ready, including data quality, governance, cataloging, and lineage;
• Possess a good understanding of language models, generative artificial intelligence solutions, and mechanisms for hosting, exposing, orchestrating, and securely consuming models and services;
• Experience with Azure AI Foundry, Azure OpenAI, or equivalent platforms for managing and deploying enterprise artificial intelligence solutions;
• Be familiar with LLM and artificial intelligence gateways as well as Model Context Protocol (MCP) servers;
• Demonstrate experience in integrating generative AI APIs and services;
• Understand embeddings, vectorization, semantic search, RAG architectures, and vector databases;
• Understand the integration mechanisms between artificial intelligence solutions and enterprise data and analytics platforms;
• Understand modern agentic architectures, their main design patterns, agent orchestration, and tool, context, and memory management;
• Know the mechanisms of evaluation, traceability and observability of artificial intelligence solutions and agentic systems;
• Understand the mechanisms that allow agents to securely interact with APIs, data, tools, and enterprise systems;
• Experience with cloud environments and a good understanding of Kubernetes and OpenShift;
• Master the availability, resilience, performance, scalability, observability and cost control issues associated with artificial intelligence platforms and solutions;
• Knowledge of the industrialization practices of artificial intelligence solutions, including MLOps, LLMOps, CI/CD, monitoring and observability;
• Understand the issues of protection, classification, traceability, confidentiality and governance of data consumed or generated by artificial intelligence solutions;
• Knowledge of the principles of identity and access management, data protection, secure secrets management, as well as application, cloud and API security (an asset);
• Understand the risks of language models, generative artificial intelligence and agentic architectures as well as OWASP, NIST and ISO 27001 standards (an asset);
• Knowledge of data governance, privacy, compliance, and Bill 25 requirements (an asset);
• Knowledge of HashiCorp Vault or comparable secrets management tools (an asset);
• Demonstrate excellent communication, writing, popularization and presentation of recommendations, particularly to managers and executives;
• Exercise an influential role and collaborate effectively with multiple stakeholders in a multidisciplinary environment;
• Demonstrate learning agility, analytical thinking, rigor, judgment, and an ability to work in uncertainty and ambiguity;
• Familiarize yourself with the ArchiMate formalism as well as the documentation and collaboration tools used in architecture;
• Experience in a large organization characterized by a complex and highly integrated technology environment (an asset);
• Experience in a regulated environment or in the financial sector (an asset);
• Demonstrate participation in the design or implementation of a shared artificial intelligence platform at the enterprise level (an asset);
• Hands-on experience with agentic architectures or solutions that integrate artificial intelligence services with enterprise systems (an asset);
• Knowledge of the principles of governance, risk management and responsible use of artificial intelligence (an asset);
• Hold relevant certifications in cloud architecture, artificial intelligence or cybersecurity (an asset);
• Be available to work in hybrid mode with a minimum of two (2) days per week in person for a term of twelve (12) months.
• This position requires fluency in French and English for daily tasks, understanding documentation, and professional communication with customers, suppliers, and colleagues across Canada. French and English language skills are essential, both oral and written.