Senior Ai Engineer

Job DescriptionSenior AI EngineerThe OpportunityWe are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role offers the opportunity to work on enterprise-scale AI integration initiatives, establish best practices, and advance the technical maturity of our engineering organization. You will collaborate with cross-functional teams to drive AI adoption and innovation across the organization.
What You’ll DoAI Engineering & Implementation
Design and build MCP (Model Context Protocol) servers and tools for seamless AI integration
Design and implement AI-driven automation solutions, including LLM-powered automation, prompt engineering, and conversational AI
Develop ML model integration solutions and AI orchestration workflows with monitoring and evaluation
Integrate UiPath with enterprise AI platforms and APIs
Support implementation of agentic automation and advanced AI use cases
AI/ML Expertise & Governance
Integrate LLM APIs and apply prompt engineering techniques
Design and maintain AI workflow orchestration systems
Implement Intelligent Document Processing and NLP solutions
Develop model evaluation, tuning, and governance frameworks
Design and manage vector databases and RAG (Retrieval-Augmented Generation) systems
Support responsible AI practices and governance model development
AI-Driven Software Development Lifecycle (SDLC)
Contribute to AI/ML solutions that enhance code generation, testing, deployment, and monitoring
Integrate AI technologies into existing SDLC workflows and development tooling
Support development and implementation of governance models for AI and responsible AI practices
Technical Contributions & Collaboration
Participate in technology evaluation and assessment for organizational adoption
Collaborate with enterprise architecture, security, and compliance teams on AI initiatives
Contribute to technical training and knowledge-sharing initiatives
Support code reviews, design discussions, and mentoring of junior team members
What You Need to SucceedMust Have
4–6 years of experience building and operating production software systems at scale
1–2 years of hands‑on experience with LLMs and generative AI in production environments or serious prototyping
Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
Strong expertise in API architecture (REST/SOAP)
Solid working knowledge of agentic AI patterns: tool use, agent orchestration, ReAct, multi‑step reasoning, memory and context management
Proven proficiency in LLM API integration and prompt engineering
Cloud platform experience (AWS, Azure, or GCP), including containers (Docker/Kubernetes) and CI/CD pipelines
Experience building or contributing to RAG systems (vector databases, embeddings, retrieval strategies)
Demonstrated experience designing and building MCP servers and tools with familiarity of agent‑tool integration frameworks
Strong collaboration and communication skills;
comfortable with code reviews, design discussions, and pair programming
Ability to explain technical decisions clearly to both technical peers and business stakeholders
Understanding of security, data governance, and responsible AI practices
Nice-to-Have
Production experience with agentic automation and advanced AI solutions
Open‑source contributions to automation or AI/ML projects
Certification in cloud platforms (e.G., AWS Developer Associate, Azure Developer Associate)
Experience with additional languages or frameworks (Java, Go, Rust)
What’s In It For YouWe thrive on the challenge to be our best, embrace progressive thinking, and work together to deliver trusted solutions that help our clients and communities prosper. We are committed to supporting each other’s growth and creating mutual success.
Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, commissions, and stock options where applicable
Development‑focused leadership committed to your growth through coaching and career opportunities
Opportunity to make a meaningful, lasting impact on enterprise AI adoption
Dynamic, collaborative, and high‑performing team environment
World‑class training programs in financial services and emerging technologies
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Job SkillsApplication Development, Application Integrations, Application Maintenance, Applications Architecture, Detail‑Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications
Additional Job DetailsAddress:
180 WELLINGTON ST W: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:
2026-08-26
Application Deadline:
2026-09-24
Note ** : ** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment OpportunitiesAt 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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