Position: Lead AI Application Developer (Global Security)
Job Description
What is the opportunity? As a Lead AI Application Developer at RBC, you will help build the next generation of ML, Gen Ai autonomous and semi-autonomous AI platform and solutions for Cyber, Fraud, Risk & Security. You’ll work alongside experienced engineers to design, develop, and deploy production-grade AI and ML systems, gaining exposure to large language models, machine learning, data engineering, and modern cloud technologies.
With access to advanced AI tools and a collaborative environment, you’ll contribute to projects that drive detective/preventive controls, automation, increase operational efficiency, and support regulatory compliance.
What will you do?
• Design, build, and deploy robust scalable backend services for Agentic AI applications build using Python, Lang Chain, Lang Graph, and related frameworks.
• Build AI solutions using LLMs and RAG systems (OpenAI, Cohere, Claude, Llama), vector search (pgvector, Milvus, Pinecone), and advanced context engineering pipelines (Lang Chain, Semantic Kernel) to ensure AI actions are context-aware, secure, and aligned with real-time enterprise data.
• Deploy, manage, and optimize ML/Agentic applications on Open Shift Container Platform (OCP), Amazon Elastic Kubernetes Services (EKS) using Helios on Actions CI/CD pipeline. Apply and advocated for best practices in secure coding and MLOps CI/CD automation (Docker, Kubernetes, Open Shift, Git Hub Actions, Jenkins), traceability (Langfuse) and observability (Prometheus, Grafana).
• Develop and deploy APIs (REST, Graph
QL, FastAPI, gRPC) ensuring high availability, scalability, resilience, and security. Engineer and maintain scalable data pipelines and workflows using PySpark, Sage Maker, Airflow, Jupyter Hub, RunAI.
• Contribute to code reviews, collaborate with data scientists and engineers, front and backend engineers and ML engineers, and maintain clear technical documentation.
• Champion best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments.
What do you need to succeed?
Must Have
• 6+ years of software engineering experience with Python, SQL, pyspark and at least one of React, Angular, and Vue.js.
• Demonstrated hands-on experience deploying LLMs, RAG systems, agent orchestration frameworks (e.g., Lang Chain, CrewAI, Auto Gen), or agentic AI into production, including vector database configuration (pgvector, Milvus, Pinecone, FAISS), and context engineering for autonomous workflows.
• Hands-on experience deploying ML/AI solutions (LLMs, RAG, classical ML) into Production, including model fine-tuning and MLOps using PyTorch, Tensor Flow, or Hugging Face.
• Strong Experience building data pipelines and APIs with Spark, Databricks, Airflow, SQL (Snowflake, Postgres), and No
SQL (Mongo
DB); experience with REST, Graph
QL, FastAPI, Django.
• Strong experience with modern MLOps/Dev Ops:
Docker, Kubernetes, CI/CD pipelines (Github Actions, Helios), and Cloud/On-prem platforms (OCP, AWS, on-prem GPU etc.)
• Ability to deliver robust, production-ready autonomous AI solutions and platforms, drive continuous improvement, advocate for safety and privacy-by-design, and communicate effectively with technical and business stakeholders.
Nice to Have
• Experience fine-tuning LLMs (e.g., LoRA, PEFT), prompt engineering, and large-scale model deployment using Hugging Face, Deep Speed, Triton, or ONNX.
• Familiarity with AWS cloud environments services (Lambda, Sage Maker, Bedrock, etc).
• Familiarity with workflow orchestration platforms Airflow, RunAI, N8N, Helios. Understanding of modern observability stacks (Grafana, Prometheus, Open Telemetry) and secure coding practices (SAST/DAST)
What’s in it for you? 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…
