Solution Engineer – AI

• Lead discovery with business and technical stakeholders
• Identify and prioritize automation opportunities
• Assess data, systems and security readiness
• Build demos and proofs of concept and support solution scoping
• Design, build and support AI-powered workflows and integrations across ERP, CRM, e-commerce and Microsoft 365
• Deliver document processing for invoices, purchase orders, shipping documents and contracts
• Build secure knowledge assistants grounded in client content
• Implement human review, audit trails and security controls
• Convert recurring client needs into packaged services, reusable accelerators, discovery and assessment methods, reference architectures, repeatable implementation plans and defined deliverables/outcomes
• Monitor production solutions for accuracy, usage and cost
• Tune and improve solutions and identify new opportunities with clients
• Work across teams to shape delivery and productize successful solutions

• 5+ years in solution engineering, technical consulting, software or data engineering
• 2+ years building GenAI/automation solutions in production
• Hands-on experience with LLMs such as OpenAI, Anthropic Claude, Azure OpenAI or similar
• Experience with prompt design, RAG and agent frameworks
• Experience deploying and operating agent harnesses such as Hermes Agent, OpenClaw, Claude Code or similar, including tools, skills, memory, business-system connections and secure production operation
• Strong integration skills with APIs, Python or TypeScript, and business systems such as ERP, CRM and Microsoft 365
• Track record of turning one-off project work into repeatable services, accelerators or delivery methods
• Understanding of AI security/privacy, including PIPEDA and Québec’s Law 25
• Strong communication skills and ability to explain technical concepts to non-technical and executive audiences
• Comfortable working independently and owning delivery end-to-end
• Microsoft Copilot Studio, Azure AI Foundry, Power Automate, AWS Bedrock or n8n experience is nice to have
• Document AI experience is nice to have
• Experience building service offerings in consulting or managed-services environments is nice to have
• Azure AI Engineer or AWS Machine Learning certifications are nice to have

• Varied client work across industries
• Real influence over how our offerings are designed and delivered
• Access to specialists in strategy, data, digital and security
• Equal opportunity employer
• Accommodation available on request throughout the hiring process