Senior Lead AI Application Engineer
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
RBC is looking for a Senior Lead AI Application Engineer to lead multi-agentic application software engineering and full-stack delivery of secure, cloud-native microservices. You will build production UIs and APIs that orchestrate agent workflows, integrate with CI/CD pipelines, and operate in regulated environments.
Key Skills for This Role
Responsibilities
- Design, build, and operate full stack agentic applications: React/TypeScript front ends and secure back end services exposing REST/gRPC/GraphQL APIs
- Engineer multi agent systems (plan/act/reflect, tool use, delegation) with robust state and coordination across services
- Deliver CI/CD and platform automation: Docker images, GitHub Actions/Jenkins/Argo CD, IaC (Terraform/Helm), Kubernetes deployments
- Implement context and data layers for agents: connectors to enterprise systems, streaming/eventing (Kafka), caching (Redis), vector search, and schema/PII controls
- Build reusable SDKs, APIs, and templates for agent capabilities with clear interfaces and code samples
- Establish runtime controls and observability: OpenTelemetry traces/metrics/logs, Grafana/Prometheus dashboards, feature flags, rate limits, circuit breakers, and SLOs
- Enforce DevSecOps and zero trust patterns: OAuth2/OIDC, mTLS, secrets, SAST/DAST, threat modeling; ensure privacy, data residency, and compliant deployments
- Partner across Security, Risk, and Platform; mentor engineers; influence reference architectures and standards
Requirements
- Bachelors degree in Software Engineering, Computer Science or equivalent practical experience
- 5+ years building production full stack systems: React/TypeScript; back end with Node.js/Express, Java/Spring Boot, or Python/FastAPI; strong API design and event driven patterns
- Hands on multi agent engineering: inter agent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs; MCP based secure connectors
- Cloud native delivery on Kubernetes with CI/CD (Docker, GitHub Actions/Jenkins/Argo CD), automated testing, and IaC (Terraform/Helm); experience with API gateways and service mesh
- Data and integration: SQL (Snowflake/Postgres), NoSQL (MongoDB), streams (Kafka), caching (Redis); integrating with enterprise systems using resilient, secure patterns
- DevSecOps and observability: OAuth2/OIDC, mTLS, Vault/KMS, SAST/DAST; OpenTelemetry, Grafana/Prometheus; operating in regulated environments with NIST/SOX/ITGC controls
Full Job Posting
What is the Opportunity?
- As the Senior Lead AI Application Engineer, you will lead multi agentic application software engineering and full stack delivery of secure, cloud native microservices that embed pragmatic AI.
- You will build production UIs and APIs that orchestrate agent workflows end to end, integrate seamlessly with RBC’s CI/CD, observability, and security pipelines, and operate reliably in regulated environments.
- Leveraging LLMs, data pipelines, and GPU/multi cloud stacks, you will deliver resilient, scalable services that automate complex risk and security controls, accelerate regulatory readiness, and enable safe, auditable AI behaviors.
- You will set standards, build reusable components, and mentor engineers across platforms and product teams.
What will you do?
- Design, build, and operate full‑stack agentic applications: React/TypeScript front‑ends and secure back‑end services (Node.js/Express or Python/FastAPI or Java/Spring Boot) exposing REST/gRPC/GraphQL APIs; deliver UIs and APIs that orchestrate agent workflows end‑to‑end.
- Engineer multi‑agent systems (plan/act/reflect, tool use, delegation) with robust state and coordination across services; implement failure handling, retries, and idempotency using frameworks such as LangGraph or AutoGen.
- Deliver CI/CD and platform automation: Docker images, GitHub Actions/Jenkins/Argo CD, IaC (Terraform/Helm), Kubernetes deployments, release/rollback and change‑control aligned to RBC standards.
- Implement context and data layers for agents: connectors (incl. MCP) to enterprise systems, streaming/eventing (Kafka), caching (Redis), vector search (pgvector/Milvus/Pinecone), and schema/PII controls to keep actions grounded and compliant.
- Build reusable SDKs, APIs, and templates for agent capabilities (inference, tools, RAG) with clear interfaces, code samples, and internal packages to accelerate teams.
- Establish runtime controls and observability: OpenTelemetry traces/metrics/logs, Grafana/Prometheus dashboards, feature flags, rate limits/quotas, circuit breakers, and SLOs for latency, quality, and cost.
- Enforce DevSecOps and zero‑trust patterns: OAuth2/OIDC, mTLS, secrets (Vault/KMS), SAST/DAST, threat modeling; ensure privacy, data residency, and compliant deployments (NIST, SOX/ITGC) across AWS/Azure/on‑prem GPU.
- Partner across Security, Risk, and Platform; mentor engineers; influence reference architectures, standards, and documentation; drive design reviews for agentic services.
What do you need to succeed?
- Bachelors degree in Software Engineering, Computer Science or equivalent practical experience.
- 5+ years building production full‑stack systems: React/TypeScript; back‑end with Node.js/Express, Java/Spring Boot, or Python/FastAPI; strong API design (REST/gRPC/GraphQL) and event‑driven patterns.
- Hands‑on multi‑agent engineering: inter‑agent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCP‑based secure connectors.
- Cloud‑native delivery on Kubernetes with CI/CD (Docker, GitHub Actions/Jenkins/Argo CD), automated testing (unit/integration/contract/E2E), and IaC (Terraform/Helm); experience with API gateways (Apigee/Kong) and service mesh (Istio/Linkerd).
- Data and integration: SQL (Snowflake/Postgres), NoSQL (MongoDB), streams (Kafka), caching (Redis); integrating with enterprise systems (ServiceNow IRM/GRC) using resilient, secure patterns.
- DevSecOps and observability: OAuth2/OIDC, mTLS, Vault/KMS, SAST/DAST; OpenTelemetry, Grafana/Prometheus; operating in regulated environments with NIST/SOX/ITGC controls.
Nice to Have
- Advanced LLM operations: fine‑tuning (LoRA/PEFT), alignment (RLHF/DPO), optimization (DeepSpeed), model serving (Triton/ONNX), and policy/guardrail engines.
- Distributed systems scale‑out: Ray/SageMaker, backpressure and retry strategies, multi‑region/DR, and dual‑cloud/hybrid operations.
- Security and zero‑trust depth: service mesh/mTLS, WAF, secrets rotation, key management, and advanced SAST/DAST/IAST.
- Quantitative evaluation and product analytics: statistics for A/B tests and offline evals, human feedback loops, cost/latency optimization, and data governance best practices.
What’s in it for you?
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high performing team
- Flexible work/life balance options
- Opportunities to do challenging innovation work and potential for patentable solutions
- Opportunities to take on progressively greater accountabilities
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at RBC
Senior Manager Digital Product Design – Design Systems
Toronto, CAN
RBC is hiring a Senior Manager Digital Product Design to lead the Design System team. You will provide product design direction for a mobile native design system, empower a team, and collaborate with cross-functional par
Manager, Product Control
Toronto, CAN
RBC is seeking a Manager, Product Control to provide quality support to various banking platforms by performing daily mark-to-market valuation, P&L reporting, and reconciliation. The role requires 2+ years of Product Con
Senior Manager, Business Information Management and Business Intelligence
Toronto, CAN
RBC seeks a Senior Manager to lead a team of data and BI professionals, overseeing end-to-end data pipeline and reporting solutions for Regional Banking. The role requires expertise in ETL, big data, and team leadership
Senior Manager, Brand Identity
Toronto, CAN
RBC seeks a Senior Manager, Brand Identity to lead the development and execution of the company's visual identity, ensuring consistent brand messaging across all channels. This creative and strategic role involves archit
Principal AI Engineer, Agentic Models and Data Platforms
Calgary, CAN
RBC is seeking a Principal AI Engineer to drive the development of scalable data pipelines and agentic AI systems on enterprise hybrid multi-cloud platforms. The role involves architecting RAG solutions, building evaluat
Senior IAM Systems Support Analyst (Global security)
Calgary, CAN
RBC is seeking a Senior IAM Systems Support Analyst to provide technical support, troubleshooting, and operational management of Identity Access and Authorization services. The role involves supporting identity provision
Analyst, Source Data & Document Traceability- EN
Montreal, CAN
RBC seeks an Analyst for Source Data & Document Traceability to participate in Transaction Testing by requesting and validating source documents. The role involves maintaining the SDDT Directory, collaborating with stake
Director, AI Business Enablement
Toronto, CAN
RBC seeks a Director for AI Business Enablement to drive AI transformation opportunities within a Line of Business. You will engage VP/SVP-level stakeholders, develop AI solution concepts, and partner with technical team
Senior Manager Digital Product Design – Design Systems
Toronto, CAN
Manager, Product Control
Toronto, CAN
Senior Manager, Business Information Management and Business Intelligence
Toronto, CAN
Senior Manager, Brand Identity
Toronto, CAN
Principal AI Engineer, Agentic Models and Data Platforms
Calgary, CAN
Senior IAM Systems Support Analyst (Global security)
Calgary, CAN
Analyst, Source Data & Document Traceability- EN
Montreal, CAN
Director, AI Business Enablement
Toronto, CAN