Staff AI Engineer (Global Security)

Socket.dev; Toronto; On-site; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Total rewards program

Bonuses and stock where applicable

Coaching and development opportunities

Flexible work options

Inclusive culture

Job summary

RBC is seeking an experienced Staff AI Engineering expert to lead the development of agentic AI systems and LLM applications within Global Security. You will architect scalable NLP solutions, spearhead MCP server implementations, and guide cloud deployments across OpenShift, Azure, and AWS.

Responsibilities include designing complex AI integrations, building CI/CD pipelines, and mentoring teams to achieve enterprise-scale security goals while optimizing costs and performance.

Qualifications

• 5+ years of software development with 2+ years in AI/ML.
• Expert Python for production systems.
• Proven track record designing NLP/Generative AI apps with LLMs and RAG pipelines.
• Hands-on with MCP servers for enterprise data integration.
• Experience with Anthropic Claude API or equivalent LLMs.
• Led or architected large‑scale AI initiatives and teams.

Responsibilities

• Design and implement scalable agentic AI systems and MCP integrations.
• Lead development of NLP/Generative AI applications and LLM integrations.
• Build and maintain cloud deployment pipelines; containerize with Docker.
• Establish technical standards and review architectural solutions.
• Collaborate with product leadership to map technical roadmaps.
• Provide mentorship and drive risk management across programs.

Skills

Python production

NLP/Generative AI

MCP servers

Cloud platforms

CI/CD

Prompt engineering

Security‑minded design

Team leadership

Tools

Docker

OpenShift

Azure

AWS

GitHub Actions

SQL/NoSQL

Kafka/Redis

Job description

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 record implementing complex multi‑system AI architectures
• 1-2+ years hands‑on experience with Anthropic Claude API and SDK (function calling, tool use, extended context) OR equivalent production LLM experience
• Advanced proficiency with AI frameworks (FastAPI, LangChain, LangGraph) and Python libraries (NumPy, 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/GitHub Actions, Docker, databases (SQL/NoSQL), middleware (Kafka/Redis), and JSON‑RPC protocols
• Demonstrated experience leading or architecting large‑scale AI/ML projects from conception through production; ability to make high‑impact design decisions with long‑term implications

Nice‑to‑have

• MLOps tools, service mesh architectures, API gateway patterns, and cloud certifications (AWS/Azure)
• Familiarity with SIEM integration patterns and security incident management workflow
• Understanding of Docker and other containerization platforms

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 compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high‑performing team
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

Job Skills

• Active Learning, Agile Methodology, Application Integrations, Detail‑Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

• Address: 16 YORK ST:TORONTO
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: TECHNOLOGY AND OPERATIONS
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2026-04-03
• Application Deadline: 2026-08-28
• Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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.