Staff AI Engineer, AI DLC Platform

About the role

RBC's Engineering, Architecture and Innovation team is building an AI platform that turns AI-generated code from Harness into production-grade, safe and deployable software. You will own the platform layer that bridges AI-generated code and production agents, defining the boundary between them and building the pipelines, runtime and standards that make AI delivery trustworthy at scale.

Key responsibilities

• Build and own the code promotion pipeline from Harness validation output through to Helios deployment.
• Ensure AI-generated code is auditable and reproducible, reviewable and roll-backable.
• Establish coding standards for AI-assisted development and work with risk, governance and engineering teams to turn the code/agent boundary into testable policy.
• Build and operate the runtime infrastructure for AI-generated code and sanctioned agents, including containerization, orchestration, secrets management, scaling and observability.
• Engineer reliability into the platform: circuit breakers, graceful degradation, rollback mechanisms and zero-downtime deployments.
• Build monitoring and alerting that distinguishes between bad models, bad code and bad platform failures.

Required profile

• Experience with agent frameworks such as LangGraph, CrewAI or AutoGen to build multi-agent workflows.
• Ability to design tool contracts, APIs (FastAPI/gRPC) and Model Context Protocol (MCP) connections.
• Experience managing CI/CD pipelines, container orchestration (Docker/Kubernetes) and infrastructure-as-code.
• Experience using AI to auto-generate test cases, analyze logs and run validation checks.
• Ability to turn user stories and Jira tickets into precise technical specifications for AI agents, including spec-kit and open spec.
• Nice to have: strong communication and presentation skills, project management and time management abilities, and knowledge of the technology or financial services industry.

Required skills

• LLM architecture, evaluation and guardrails
• LLM orchestration and agent frameworks (LangGraph, CrewAI, AutoGen)
• FastAPI, gRPC, Docker, Kubernetes
• CI/CD, infrastructure-as-code, Python

What we offer

• Total rewards program with bonuses, flexible benefits, competitive compensation, commissions and stock where applicable.
• Coaching and development opportunities with supportive leaders.
• Flexible work/life balance options and opportunities for challenging work and growing responsibility.