Artificial Intelligence Engineer

Job Description  What is the Opportunity? Were building the agentic platform that will let every development team at RBC execute AI driven SDLC - our spec-driven, agent-assisted software delivery methodology - s is a hands-on platform engineering role inside Dev Ops: you wont be running one teams pipeline, youll be building the harness, skills, and agents that every teams development workflow runs on.

If youre the kind of engineer who has already wired tools like Claude Code into your own workflow with custom skills and MCP servers to make yourself dramatically more productive, and you want to turn that instinct into a platform used across an entire bank, this is that role.
What will you do?
Design and build agents across the full software delivery lifecycle: specification creation, technical spec generation, build-and-test agents, and operational agents that automate deployment, release, PIV (post-implementation verification), and post-deployment tasks
Build these agents on coding harnesses via custom skills and tools (including MCP servers), on managed agent platforms such as Devin, and as native agents using frameworks like Lang Chain and Lang Graph - choosing the right substrate for each use case
Implement and extend spec-driven development workflows (e.g., specify - clarify - plan - tasks - analyze - implement, in the style of Git Hub spec-kit / Spec Kit) as the backbone of the platforms golden path
Build the technical plumbing that enforces AI-DLCs gates (e.g., Spec Ready, PR Ready) as machine-checked controls rather than advisory guidance
Continuously push what frontier models and coding harnesses like Claude Code can automate - both at a personal productivity level and as reusable capability that scales across other development teams
Partner with Dev Ops, security, and platform teams to get new agents and skills safely into production and into the shared skill/tool catalog
Evaluate emerging agentic AI platforms, frameworks, and design patterns, and