1 day ago
Toronto, CanadaStaff+
Responsibilities
- Own the AI-DLC Platform architecture covering skills, commands, agents, context, MCP services, and governance.
- Define and execute the 12–18 month technical roadmap, autonomy model, build-versus-buy decisions, and vendor strategy.
- Design and build multi-agent workflows with tool use, memory, planning, guardrails, and human-in-the-loop patterns.
- Own promotion pipelines from Harness validation through Helios deployment and ensure generated code is auditable, reproducible, explainable, and traceable.
- Design APIs, tool contracts, MCP services, containerized runtimes, orchestration, scaling, and observability.
- Establish LLMOps, evaluation, RAG strategy, cost and latency optimization, monitoring, alerting, testing, and validation frameworks.
- Implement access controls, audit trails, governance controls, reliability targets, rollback, graceful degradation, and zero-downtime deployment.
- Define and track platform adoption, quality, security, usage, cycle-time, KPI, and ROI outcomes.
- Advise senior leadership and executive steering committees while partnering with teams to drive platform adoption.
- Lead architecture design, code reviews, technical discussions, mentoring, hiring, and competency framework development.
Requirements
- Proven experience designing and orchestrating production multi-step autonomous agents with tool use, memory, planning, guardrails, and human-in-the-loop patterns.
- Hands-on production proficiency with LangGraph, CrewAI, or AutoGen and deep competency in prompt engineering, RAG, context management, evaluation, model lifecycle management, and LLMOps.
- Strong experience designing tool contracts, APIs using FastAPI or gRPC, MCP connections, CI/CD pipelines, container orchestration, and infrastructure-as-code.
- Experience with enterprise platforms such as OpenShift, Kafka, Elasticsearch, and Apigee, plus cloud providers including AWS, Azure, or GCP.
- Ability to translate requirements into precise specifications for automated execution, with familiarity with spec-kit or OpenSpec.
- Experience with AI-generated testing, log analysis, validation checks, and scalable test automation.
- Experience designing human-in-the-loop validation, access controls, audit trails, and testable governance controls.
- Strong software engineering fundamentals and proficiency in Python, Java, or C++.
- Track record of translating AI capabilities into business outcomes, defining roadmaps, influencing investment decisions, and delivering measurable enterprise impact.
- Experience advising VP-level leadership, presenting to steering committees, leading cross-functional work across multiple squads, and hiring and developing engineering talent.
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience; PhD is preferred.
- Financial-services and regulatory knowledge, reinforcement learning or advanced AI experience, certifications, open-source contributions, publications, or industry speaking are preferred.
Benefits
- Comprehensive total rewards program with bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.
- Development support through coaching and management opportunities.
- Flexible work/life balance options and a dynamic, collaborative, progressive, high-performing team.
- Opportunities to make a lasting impact, take on greater accountabilities, and pursue varied opportunities across the business.
- Full-time regular employment in Toronto, Canada, with 37.5 work hours per week.
Tech Stack
Apache KafkaAWSAzureC++DockerElasticsearchFastAPIGoogle Cloud PlatformgRPCHarnessJavaKubernetesOpenShiftPython
Categories
About RBC
Royal Bank of Canada (RBC) provides personal and commercial banking, payments, mortgages, investing, wealth management, insurance, and capital markets services to consumers, businesses, and institutions. The public company, headquartered in Toronto and founded in 1864, serves more than 17 million clients across Canada, the U.S., and other global markets. Revenue comes from interest income, fees, advisory, and trading across its diversified financial services businesses, and it is Canada’s largest bank by market capitalization.