What is the opportunity?
We're looking for a talented Senior AI Engineer 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. This is a unique opportunity to architect next-generation AI technologies and mentor a team of developers committed to delivering advanced AI solutions to enterprise environments.Job Description
What is the opportunity?
We're looking for a talented Senior AI Engineer 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. This is a unique opportunity to architect next-generation AI technologies and mentor a team of developers committed to delivering advanced AI solutions to enterprise environments.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?
AI Architecture and Development: Design, develop, and optimize sophisticated NLP and Generative AI applications using Python;
architect scalable solutions for agentic AI systems, RAG pipelines, and LLM integrationsFrontend and Full-Stack Implementation: Build responsive, user-centric interfaces using React and JavaScript;
create seamless integration between AI backends and frontend components;
ensure optimal user experience across platformsApplied AI Innovation: Lead the development of AI-driven security tools and intelligent automations;
leverage vector databases, embedding strategies, and advanced prompt engineering;
stay at the forefront of emerging AI trends and technologiesDeployment and Infrastructure: Design and maintain robust deployment pipelines to cloud platforms (OpenShift, Azure, AWS);
containerize applications using Docker;
build CI/CD workflows with GitHub ActionsSecurity and Integration: Architect cybersecurity applications for scalability and resilience;
integrate Gen AI solutions with SIEM systems;




ensure security best practices throughout the development lifecycleTechnical Leadership: Mentor junior developers;
conduct code reviews;
drive best practices in Python development, AI frameworks, and architectural patternsProblem Solving and Optimization: Perform root-cause analysis for complex issues;
develop back-end components that maximize responsiveness and performance;
optimize applications for scalability and securityCross-functional Collaboration: Partner with security architects, product teams, and business stakeholders to translate requirements into innovative AI solutionsWhat do you need to succeed?
Must-have
7+ years of professional software development experience, with 3+ years focused on AI/ML applicationsExpert-level Python programmingE proficiency;
demonstrated ability towrite production-grade, efficient, and maintainable codeDeep experience designing and deploying NLP and Generative AI applicationsProven expertise with vector databases, LLMs, and RAG pipeline architecturesAdvanced proficiency with AI frameworks (FastAPI, LangChain, LangGraph) and Python libraries (NumPy, Pandas, scikit-learn)Strong frontend development skills with React and JavaScript;
ability to build or architect full-stack AI solutionsExperience with Source Code Management (Git) and GitHub ActionsSolid understanding of cloud platforms (OCP, Azure, AWS) and web services (SOAP, REST)Knowledge of SQL and NoSQL database design and optimizationProficiency with middleware technologies (MQSeries/Kafka, Redis)Strong understanding of cybersecurity practices and secure coding principlesNice-to-have
Experience with Docker and containerization platformsCertification in cloud platforms (AWS, Azure)Experience with MLOps tools and frameworksBackground in natural language processing or machine learning researchKnowledge of emerging AI technologies (transformer architectures, prompt engineering techniques)Professional Skills
Exceptional written, verbal, and presentation communication skills;




ability to explain complex AI concepts to non-technical stakeholdersNatural mentor with strong team and individual contributor capabilitiesMaintains composure and demonstrates collaborative problem-solving in complex situationsHigh standards of professionalism and attention to detail;
consistently delivers excellent resultsSelf-sufficient and self-directed;
thrives in autonomous environments with minimal supervisionDemonstrates flexibility, creativity, and strategic thinking to address novel challengesAnalytical mindset with strong achievement orientationWhat's in it for you?
Comprehensive Total Rewards Program including competitive compensation, bonuses, and flexible benefitsStock options where applicableLeaders who actively support your professional development and growth opportunitiesThe ability to make meaningful, lasting impact on enterprise AI adoptionWork within a energetic, collaborative, progressive, and high-performing teamWorld-class training programs in financial services and AI technologiesOpportunities to work on challenging, cutting-edge AI projectsCareer progression opportunities into principal engineer and leadership rolesJob Skills
Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)Additional Job Details
Address
16 YORK ST:TORONTOCity
TorontoCountry
CanadaWork hours/week
37.5Employment Type
Full timePlatform
TECHNOLOGY AND OPERATIONSJob Type
RegularPay Type
SalariedPosted Date
2026-07-22Application Deadline
2026-8-17Note
Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment Opportunities
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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📌 Senior Ai Engineer, (Global Security) (Winnipeg)
🏢 RBC
📍 Winnipeg