Senior AI Solution Architect

Overview

Location
:
Toronto, ON (Hybrid)

Our client is seeking a Senior AI Solution Architect with a strong focus on Azure and Generative AI (GenAI) to join their expanding AI transformation program. This is an opportunity to join a high-performing, well-funded, and forward-thinking team driving enterprise-level AI initiatives across multiple business areas.

You will be at the forefront of designing and delivering production-grade GenAI solutions using modern AI architectures, frameworks, and tools. This is a hands-on role requiring deep technical expertise, leadership, and stakeholder engagement to shape and implement innovative AI strategies and applications.

• Lead the design, architecture, and delivery of end-to-end AI and GenAI-powered solutions
• Evaluate, recommend, and implement modern LLM models and orchestration frameworks
• Architect cloud-native solutions using Azure, leveraging Azure AI Services and Azure Machine Learning
• Integrate Retrieval-Augmented Generation (RAG) and Vector Databases (e.g., Azure AI Search, Qdrant) into scalable solutions
• Collaborate with stakeholders to identify business challenges and craft appropriate AI-based solutions
• Participate in estimating, planning, and executing solution delivery while overseeing technical implementation
• Provide technical leadership to cross-functional teams, coaching developers, and ensuring engineering best practices
• Work within Agile environments, leveraging Dev Ops, CI/CD, and containerized environments (Docker/Kubernetes)

• 7+ years of experience in solution architecture (10+ years overall in software/AI engineering roles)
• Strong hands-on experience with Azure Services and GenAI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI)
• Deep knowledge of LLMs (e.g., GPT-4/5, ChatGPT, Claude, Gemini, Llama)
• Familiarity with orchestration frameworks like Lang Chain, Semantic Kernel
• Experience in event-driven, microservices-based architectures
• Strong programming background (e.g., Python) with ability to code when required
• Experience in software lifecycle tools:
  Azure Dev Ops, Git Hub, JIRA
• Knowledge of modern data architectures, including RDBMS and No
  
  SQL (e.g., MS SQL, Mongo
  
  DB)
• Experience working with UX principles (personas, user stories, prototyping)
• Azure or Microsoft certifications are advantageous
• Excellent communication skills and ability to lead technical conversations with stakeholders

• Join a well-funded AI division within a respected organization
• Early involvement in projects – shape solutions from inception, not just delivery
• Access to cutting-edge AI tools and frameworks in a production environment
• Competitive compensation package and hybrid/flexible working options
• Be part of an organization committed to digital and AI transformation at scale