We are:The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.Stronger together!The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.The value for our clients and our people:For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.You Are:As a Forward Deployed Technical Consultant, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design, build, and operationalize enterprise-grade data and agentic AI solutions on the Snowflake AI Data Cloud. Your role spans the full solution lifecycle of Snowflake-native data products and agentic AI systems — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.THE WORKFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutionsArchitect and maintain a scalable, governed Snowflake AI Data Cloud environment including compute optimization, warehouse sizing, and cost management.Design and implement ELT/ETL frameworks using Snowflake SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe for batch, streaming, CDC, and event-driven ingestion patternsBuild reusable, AI-ready data products with clear ownership, semantic context, data quality SLAs, and lineage trackingDesign and build multi-step agentic AI workflows using Snowflake Cortex Agents, Cortex AI Functions, Cortex Search, and Cortex Analyst.Develop production-grade Retrieval-Augmented Generation (RAG) pipelines with vector search, semantic retrieval, and hybrid search capabilities over governed Snowflake datasets.Integrate AI agents with enterprise systems via MCP (Model Context Protocol) connectors, REST APIs, and event-driven messaging architectures.Implement tool-use orchestration, prompt engineering, and evaluation frameworks (LLMOps) for reliable, auditable AI agent behaviour.Apply agentic automation to operational use cases including anomaly detection, data quality remediation, query diagnosis, documentation generation, and incident summarisation.Integrate AI agents with enterprise systems via MCP (Model Context Protocol) connectors, REST APIs, and event-driven messaging architectures.Build and maintain semantic data models that expose governed, business-ready datasets to Cortex Analyst and BI toolsEngage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sitesWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and productionImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate toolsJustify the value of model approaches in business problemsCollaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location