Staff AI Engineer (Global Security)

Job Description

Job Description What is the opportunity? We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring technical leadership and subject-matter expertise in designing and implementing agentic AI systems and Large Language Model (LLM) applications. You will lead the development of next-generation AI technologies, establish technical standards across the team, and work with a team of passionate individuals committed to bringing advanced AI to enterprise security. 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 and massive datasets and computational resources to support development in agentic AI systems, LLM applications, and intelligent security platforms. The role involves strategic technical leadership, hands-on development, mentorship, and execution to ensure objectives are accomplished with excellence. What will you do? Design, develop, and maintain sophisticated NLP and Generative AI applications in 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 Build and maintain deployment pipelines to cloud platforms (OpenShift, Azure, AWS); containerize applications using Docker; build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and monitoring Develop AI-driven security tools and applications for scalability and resiliency; integrate applications with SIEM systems for alerting and reporting Establish technical direction and architectural standards for MCP server development, AI framework selection, and prompt engineering practices across Global Security; lead architectural reviews of team implementations Lead the design of complex, multi-system AI integrations; architect for scalability, resilience, and cost optimization at enterprise scale Define AI strategy in collaboration with product leadership; translate business objectives into technical roadmaps, prioritization, and architectural decisions Perform root-cause analysis for production issues and provide solutions; manage risks, assumptions, and constraints; communicate to appropriate parties What do you need to succeed? Must-have 5 years software development experience with 2 years in AI/ML; expert-level Python proficiency for production systems Deep expertise designing and deploying NLP/Generative AI applications; proven track record with vector databases, LLMs, and RAG pipelines Expert-level experience with Model Context Protocol (MCP) servers for enterprise data integration; proven track recor

Required Skills