87343# Operations Solutions Architecture AdvisorMontrealHybridArchitecture and Technology GovernanceApplyWith over 30 years of recognized expertise, COFOMO is now a leading Canadian consulting firm specializing in digital and artificial intelligence. Supported by more than 3,000 experts, 10 Centers of Excellence, and 4 offices across the country, we are uniquely positioned to successfully guide our clients through their transformations. Both strategic and tactical, we help organizations across a wide range of industries thrive in today’s rapidly evolving world.## Our promiseHelp our clients succeed and maximize the impact of their transformation initiatives, turning them into powerful drivers of growth and innovation.## Job descriptionHere'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 ofmodern 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 contemporary 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 mech

📌 Operations Solutions Architecture Advisor (Winnipeg)
🏢 COFOMO
📍 Winnipeg