Associate Director – AI Engineer, QTS Architecture
RBC
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Benefits offered by this job
Job summary
RBC is seeking an experienced platform engineer to build an agentic SDLC platform for AI-enabled development across the bank. You will design agents, integrate CALM standards, and implement spec-driven workflows.
You will work with LangChain/LangGraph, Claude Code, and MCP servers to scale tooling across teams. You’ll collaborate with DevOps and Security to push Safe production adoption, demonstrate progress to stakeholders, and help teams unblock with hands-on support.
Qualifications
- 3+ years of software development experience with production-grade services.
- Hands-on experience building agent-based solutions (LangChain, LangGraph or Claude Code).
- Experience with MCP servers and building custom skills/tools for coding harnesses.
- Fluency with frontier coding assistants (Claude Code) for engineering work.
- Experience with CI/CD pipelines and DevOps tooling (GitHub Actions, Jenkins, Docker/Kubernetes).
- Strong understanding of SDLC and architecture design.
- Able to present technical work to teams and translate platform capabilities.
Responsibilities
- Design and build agents focusing on architecture-as-code and AI context systems.
- Integrate CALM architecture standards into development processes.
- Develop agents on LangChain/LangGraph using frameworks like Claude Code.
- Implement spec-driven development workflows as the platform's backbone.
- Build and enforce AI-DLC gates as machine-checked controls.
- Advance frontier models and coding harness capabilities for scale.
- Collaborate with DevOps, Security, and platform teams to productionize agents.
- Demonstrate solutions to development teams to drive adoption.
- Act as a hands-on resource and unblock teams new to the platform.
Skills
Tools
Job description
We're building the agentic platform that will let every development team at RBC execute AI driven SDLC — our spec-driven, agent-assisted software delivery methodology — at scale. This is a hands‑on platform engineering role inside the Capital Market’s Architecture Team: building out our architecture-as-code system to embed in the development process for AI agents to leverage.
We're building the agentic platform that will let every development team at RBC execute AI driven SDLC — our spec-driven, agent-assisted software delivery methodology — at scale. This is a hands‑on platform engineering role inside the Capital Market’s Architecture Team: building out our architecture-as-code system to embed in the development process for AI agents to leverage.
If you're 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.
- Design and build agents across focusing on the design & architecture phase: architecture as code, codified tech standards, AI context systems, and technology toil reduction from traditional CICD processes (Access, Onboarding, etc)
- Integrate CALM architecture standards into the development process for building and maintaining architecture artifacts
- Build these agents on coding harnesses via custom skills and tools (including MCP servers), on managed agent platforms such as Claude/Devin, and as native agents using frameworks like LangChain and LangGraph — 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 GitHub spec-kit / SpecKit) as the backbone of the platform's golden path
- Build the technical plumbing that enforces AI-DLC's gates (e.g. architecture drift detection, adherence to tech standards) 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 DevOps, 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 make build-vs-adopt recommendations for the platform roadmap
- Regularly demonstrate what you've built to other development teams — explaining not just what an agent does, but how it works — to build trust and drive adoption of the platform
- Act as a hands‑on technical resource and champion for teams adopting AI-DLC, helping them get unblocked on the platform
- 3+ years of experience with a software development background (Python and/or TypeScript/JavaScript) with the ability to build and operate production‑grade services, not just prototypes
- Hands‑on experience building agent‑based solutions — e.g., with LangChain, LangGraph, or comparable agent frameworks – even within coding harnesses like Claude Code.
- Practical experience with MCP (Model Context Protocol) servers and building custom skills/tools for coding harnesses such as Claude Code
- Demonstrated personal fluency with frontier coding assistants (e.g., Claude Code) for real engineering work, including multi‑agent workflows
- Experience with CI/CD pipelines and DevOps tooling (e.g., GitHub Actions, Jenkins, Docker/Kubernetes) — you understand what CICD automation actually does, and how architecture can be integrated by default
- Strong understanding of software development lifecycle, including product discovery, stakeholder requirements gathering, design, architecture, development, and release
- Strong communicator, comfortable presenting and demoing technical work to other development teams and translating platform capabilities into terms application teams can act on
- Strong software architecture and system design skills; comfortable making platform‑level tradeoffs that will be consumed by many other teams
- Experience with spec‑driven development paradigms, particularly GitHub spec-kit / SpecKit — a significant advantage for this role
- Experience in architecture‑as‑code frameworks, particularly CALM finos
- Application Architecture experience, particularly system design, data access/layer, data ontology, etc
- Experience with autonomous coding agent platforms such as Devin, Claude Code, Copilot or similar products
- Familiarity with AI‑DLC or comparable structured, gate‑based AI‑assisted delivery methodologies
- Experience in financial services or another regulated industry, with awareness of the security/compliance constraints that shape enterprise agent design
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- The ability to shape a platform used by development teams across the entire bank, not just a single team or line of business
- Leaders who support your development through coaching and growth opportunities
- Work in a dynamic, collaborative, progressive, and high-performing team at the leading edge of agentic AI adoption in a regulated enterprise
- A world‑class training program in financial services and technology
- Flexible work/life balance options
Active Learning, Agile Methodology, Application Integrations, Artificial Intelligence (AI), Detail‑Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)
90 WESTERN PKY:BEDFORD
Bedford
Canada
37.5
Full time
CAPITAL MARKETS
Regular
Salaried
2026-09-09
2026-09-30
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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