Tasks and responsibilitiesAdvise stakeholders in identifying business opportunities related to artificial intelligence and advanced analytics; Define artificial intelligence solution architectures covering data, models, integration, and infrastructure adapted to customer environments; Develop technology roadmaps and strategies for implementing artificial intelligence solutions; Ensure alignment of solutions with governance, security, and data management frameworks; Participate in the selection of cloud, MLOps and analytics technologies and platforms; Supervise construction teams composed of data scientists, engineering consultants and architectural consultants, and promote best practices; Contribute to the risk management, ethics and compliance of artificial intelligence solutions; Support positioning and business development activities, including presentations, workshops and proposals; Produce and maintain architecture deliverables, animate architecture reviews, arbitrate trade-offs between cost, latency, security, and maintainability, and define reusable reference models; Design generative artificial intelligence architectures, including RAG approaches, tool-calling and agents, define evaluation strategies and implement the required control mechanisms; Define the end-to-end architecture of data and AI solutions, including batch and continuous ingestion, data quality, cataloging, lineage, and integration with legacy systems; Conduct threat modeling activities related to artificial intelligence solutions, define appropriate controls, and ensure compliance with privacy, retention, and auditability.Profile you are looking forHave a university degree in computer science, artificial intelligence, software engineering or a related field; Have a minimum of seven (7) years of experience in solution architecture,



including the delivery of artificial intelligence or generative artificial intelligence solutions in production in enterprise environments; Experience in deploying artificial intelligence solutions in production, including continuous integration and deployment, testing, monitoring, rollback mechanisms, model and data versioning, and service levels; Proficiency in the design of enterprise cloud architectures, including identity and access management, networking, encryption, high availability, disaster recovery, observability, and FinOps practices; Be familiar with at least one open source orchestration framework such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel and associated components, including vector databases, embeddings, and reranking; Demonstrate knowledge of monitoring, evaluation and monitoring practices of generative artificial intelligence systems, in particular with Langfuse, LangSmith, OpenTelemetry, MAF or AgentOps; Have hands‐on experience with modern data ecosystems, including batch and streaming pipelines, governance, data quality, catalogs, and lineage; Proficient in cloud platforms such as Azure, AWS or GCP as well as artificial intelligence and machine learning tools; Be able to explain complex concepts to non-technical stakeholders; Demonstrate excellent communication, influence and strategic advice skills; Have delivered a minimum of two (2) to three (3) artificial intelligence or generative artificial intelligence solutions in production in an enterprise context; Experience withKubernetes, containers, and infrastructure-as-code practices, including Terraform, Bicep, or CloudFormation (an asset); Knowledge of artificial intelligence ethics and governance frameworks (an asset); Experience in consulting or consulting services (an asset).This position requires fluency in French and English for daily tasks, understanding documentation, and skilled communication with customers, suppliers, and colleagues across Canada. French and English language skills are essential, both oral and written. #J-18808-Ljbffr

📌 Ai Solution Architecture Consultant (Montreal)
🏢 COFOMO
📍 Montreal