Senior AI Solutions Engineer

• Leading technical discovery and solution design for enterprise AI engagements, primarily on Google Cloud (Vertex AI, Gemini Enterprise)
• Architecting agentic AI systems that integrate with enterprise data sources — ERP systems, legacy platforms, modern data infrastructure — with full consideration for security, governance, data quality, and authorization frameworks
• Translating complex business logic into scalable, production-grade AI solutions and communicating those designs clearly to both technical and business stakeholders
• Collaborating with and directing offshore delivery teams to bring architectures to life
• Contributing to and evolving the company's existing AI IP and accelerators
• Staying sharp on the rapidly shifting agentic AI landscape — frameworks, tooling, and emerging best practices — and bringing that knowledge to bear for clients who are looking to you for guidance

• Deep, hands-on experience with Google Cloud Platform — Vertex AI, Model Garden, Gemini — and a strong understanding of what enterprise GCP deployment actually looks like in practice
• Proven experience building agentic AI systems — multi-step reasoning, tool use, state management, workflow orchestration — not just LLM prompting
• Strong software engineering fundamentals — you understand that AI is maybe 20% of the solution; the rest is robust, scalable, maintainable engineering
• Fluency across the enterprise AI considerations that actually matter in production: data governance, security, authentication/authorization, auditability, privacy
• Experience working with or integrating enterprise data sources — ERP systems, legacy platforms, databases — and understanding how to make that data AI-ready
• Excellent communication skills — you can hold a room with a CIO as comfortably as you can whiteboard an architecture with an engineering team
• Comfortable with ambiguity, ownership, and operating without a large supporting cast

• Familiarity with other cloud platforms (AWS, Azure) — cloud literacy translates
• Exposure to additional agentic frameworks (LangGraph, ADK, CrewAI) or other AI ecosystems (Anthropic, OpenAI)
• Background in consulting, systems integration, or pre-sales solutions engineering

• Mostly remote with a downtown Toronto office available; occasional in-person team meetups (roughly monthly)
• Compensation details to be confirmed — expect a package commensurate with the seniority and scope of this role
• Full-time permanent position

Compensation