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Senior AI Engineer; Global Security

Job in Toronto, Ontario, M5A, Canada
Listing for: 0000050007 Royal Bank of Canada
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Senior AI Engineer (Global Security)

Job Description

What is the opportunity?We're looking for a talented Senior AI Engineer (Global Security) with deep expertise in Python programming and applied AI systems who will drive the design and implementation of sophisticated agentic AI solutions and Large Language Model (LLM) applications. You will immediately contribute to existing MCP server deployments and design next-generation security automation capabilities. This is a unique opportunity to architect AI technologies that directly impact RBC's security posture and enhance developer experience across the organization.

At RBC Global Security, you'll be joining a team that builds AI solutions to reduce vulnerabilities across the organization and enhance developer experience. The team has access to rich datasets and computational resources to support development in agentic AI systems, LLM applications, and intelligent security platforms. The role involves strategic design, hands-on development, mentorship, and execution to ensure objectives are accomplished with excellence.
What will you do?
  • Design, develop, and optimize sophisticated NLP and Generative AI applications using Python; architect scalable agentic AI systems, RAG pipelines, and LLM integrations leveraging vector databases, embeddings, and advanced prompt engineering
  • Design and implement Model Context Protocol (MCP) servers for enterprise data integration; build custom MCP servers connecting LLM applications to internal databases, APIs, and knowledge bases; contribute to existing MCP deployments developing new features and optimizations
  • Develop and maintain Anthropic Claude-based solutions leveraging extended context windows, advanced reasoning, tool-calling architectures, and agent orchestration for enterprise system integration
  • Design and deploy robust deployment pipelines to cloud platforms (Open Shift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with Git Hub Actions; manage MCP server infrastructure with proper authentication, security, and monitoring
  • Mentor junior developers on AI architecture patterns, MCP implementations, and best practices; conduct code reviews with focus on security, performance, and maintainability
  • Partner with security architects, product teams, data engineers, and business stakeholders to translate requirements into innovative AI solutions
  • What do you need to succeed?
    Must-have
  • 5+ years software development experience, with 2+ years in AI/ML; expert in Python for production systems
  • Deep expertise designing and deploying NLP/Generative AI applications; proven track record with vector databases, LLMs, and RAG pipelines
  • 1-2+ years hands-on experience with Anthropic Claude API (function calling, tool use, extended context) OR equivalent production LLM experience (OpenAI/Cohere)
  • Expert in building and deploying MCP servers for enterprise data integration; proven implementation of AI agent architectures with tool-calling capabilities
  • Advanced proficiency with AI frameworks (FastAPI, Lang Chain, Lang Graph) and Python libraries (Num Py, Pandas, scikit-learn)
  • Advanced prompt engineering expertise: multi-step reasoning, prompt caching strategies, cost optimization, Anthropic Skills framework, and agent orchestration patterns
  • Solid understanding of cloud platforms (OCP, Azure, AWS), web services (SOAP/REST), Git/Git Hub Actions, Docker, databases (SQL/No

    SQL), middleware (Kafka/Redis), and JSON-RPC protocols
  • Strong cybersecurity practices and secure coding; experience implementing authentication/authorization for AI service integrations
  • Nice-to-have
  • React and JavaScript experience
  • MLOps tools, service mesh architectures, API gateway patterns, and cloud certifications (AWS/Azure)
  • Familiarity with SIEM integration patterns, security incident management workflows, and monitoring tools
  • Background in NLP/ML research
  • Constitutional AI principles, responsible AI development, and bias testing practices
  • 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,…
    Position Requirements
    10+ Years work experience
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