AI Solutions Architect

About SoftHouse Advisory

SoftHouse Advisory helps organisations adopt AI practically: training teams, building AI-powered solutions, and embedding new ways of working. We work across financial services, manufacturing, and professional services.

About the Role

Bridge engineering fundamentals and rapid AI-driven development. You will design and build AI-powered applications for enterprise clients, contribute to our internal agentic platform, and deliver vibe-coding masterclasses to client teams. This is not a pure research role: you will ship production systems for real clients, working across Claude, OpenAI, and Gemini.

Responsibilities

- Design and build AI-powered solutions for enterprise clients using modern AI tools and frameworks

- Architect systems that are resilient, secure, and production-ready

- Work across AI models and platforms, selecting the right tool for each problem

- Contribute to SoftHouse's internal agentic harness and platform

- Deliver vibe-coding masterclasses to client technical teams

- Collaborate with consultants, trainers, and client stakeholders

Must Have

- Engineering background: databases, data types, storage, architecture, and security fundamentals. Many people can prompt; far fewer understand what is happening underneath

- Comfort working across AI models and frameworks (Claude, OpenAI, Gemini)

- Ability to move fast: prototype, test, ship, iterate

- T-shaped skills: deep in one area, capable across many

- Personable and collaborative; you will work directly with clients and teammates

Nice to Have

- Experience with agent architectures, MCP, and tool-use patterns

- Background in solution architecture or consulting

- Experience delivering technical training or workshops

- Familiarity with vibe-coding workflows (Cursor, Claude Code, Copilot)

To apply, email careers@shsadvisory.com with your CV and a brief note on why this role interests you.

Pay: $85,661.92-$173,525.47 per year

Benefits:

• Casual dress
• Flexible schedule

Work Location: Hybrid remote in Toronto, ON (Toronto District)