Senior AI Engineer, (Global Security)

RBC • Toronto, ON

1d • Onsite

About The Position

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.

Requirements

• 7+ years of professional software development experience, with 3+ years focused on AI/ML applications
• Expert-level Python programming proficiency; demonstrated ability to write production-grade, efficient, and maintainable code
• Deep experience designing and deploying NLP and Generative AI applications
• Proven expertise with vector databases, LLMs, and RAG pipeline architectures
• Advanced 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 solutions
• Experience with Source Code Management (Git) and GitHub Actions
• Solid understanding of cloud platforms (OCP, Azure, AWS) and web services (SOAP, REST)
• Knowledge of SQL and NoSQL database design and optimization
• Proficiency with middleware technologies (MQSeries/Kafka, Redis)
• Strong understanding of cybersecurity practices and secure coding principles
• Exceptional written, verbal, and presentation communication skills; ability to explain complex AI concepts to non-technical stakeholders
• Natural mentor with strong team and individual contributor capabilities
• Maintains composure and demonstrates collaborative problem-solving in complex situations
• High standards of professionalism and attention to detail; consistently delivers excellent results
• Self-sufficient and self-directed; thrives in autonomous environments with minimal supervision
• Demonstrates flexibility, creativity, and strategic thinking to address novel challenges
• Analytical mindset with strong achievement orientation

Nice To Haves

• Experience with Docker and containerization platforms
• Certification in cloud platforms (AWS, Azure)
• Experience with MLOps tools and frameworks
• Background in natural language processing or machine learning research
• Knowledge of emerging AI technologies (transformer architectures, prompt engineering techniques)

Responsibilities

• Design, develop, and optimize sophisticated NLP and Generative AI applications using Python; architect scalable solutions for agentic AI systems, RAG pipelines, and LLM integrations
• Build responsive, user-centric interfaces using React and JavaScript; create seamless integration between AI backends and frontend components; ensure optimal user experience across platforms
• 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 technologies
• Design and maintain robust deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions
• Architect cybersecurity applications for scalability and resilience; integrate Gen AI solutions with SIEM systems; ensure security best practices throughout the development lifecycle
• Mentor junior developers; conduct code reviews; drive best practices in Python development, AI frameworks, and architectural patterns
• Perform root-cause analysis for complex issues; develop back-end components that maximize responsiveness and performance; optimize applications for scalability and security
• Partner with security architects, product teams, and business stakeholders to translate requirements into innovative AI solutions

Benefits

• Comprehensive Total Rewards Program including competitive compensation, bonuses, and flexible benefits
• Stock options where applicable
• Leaders who actively support your professional development and growth opportunities
• The ability to make meaningful, lasting impact on enterprise AI adoption
• Work within a dynamic, collaborative, progressive, and high-performing team
• World-class training programs in financial services and AI technologies
• Opportunities to work on challenging, cutting-edge AI projects
• Career progression opportunities into principal engineer and leadership roles

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed