Operations Solutions Architecture Advisor

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 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;