Posted 5 days ago
Senior AI Engineer (Amplify)
@ Royal Bank of Canada
Toronto, Ontario
Overview
Royal Bank of Canada is hiring a Senior AI Engineer on its ASEDA team to build agentic and generative AI systems, including MCP servers, agent orchestration pipelines and RAG systems connected to enterprise workflows. The role involves owning complex features end-to-end and collaborating with Staff and Principal Engineers. The posting states a full-time salaried role of 37.5 hours per week at its Toronto office.
Responsibilities:
- Build agentic AI systems, MCP servers and RAG pipelines for production
- Own complex features end-to-end from design to deployment
- Write clean, well-tested Python code for production systems
- Contribute to evaluation, guardrails and observability for AI agents
- Collaborate with Staff and Principal Engineers on architecture
Requirements summary:
- Experience building production software systems
- Hands-on experience with LLMs and generative AI
- Working knowledge of agentic AI patterns and orchestration
- Strong Python skills
- Experience with RAG systems and vector databases
- Familiarity with MCP or similar agent-tool frameworks
Tools & skills
Source and dates
Employer career site / ATS feed · workday
- Employer posting date
- 2026-11-01
- First seen by our source
- 2026-11-02
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 37.5 |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Flexible hours, Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Royal Bank of Canada
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact. http://rbc.com/legalstuff. La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social. https://www.rbc.com/conditions-dutilisation/
- LinkedIn followers
- 932,626
- People associated on LinkedIn
- 96,867
- Reported office locations
- 200 Bay Street, Toronto, Ontario M5J 2J5, CA
- 1 Place Ville-Marie, Montreal, QC H3B 1Z3, CA
- 2 Park St, Sydney, NSW 2000, AU
- 100 Bishopsgate, London, England EC2N 4AA, GB
- Persiaran Apec, Cyberjaya, Selangor 63000, MY
- 60 S 6th St, Minneapolis, MN 55402, US
- Business categories
- Wealth Management
- Commercial Lending
- Finance
- Banking
- Payments
- Asset Management
- Insurance
- Lending
- Financial Services
- Financial Exchanges
- Other recorded names
- Royal Bank of Canada
- RBC
- Specialties
- finance
- banking
- investing
- insurance
- financial planning
- wealth management
- and capital markets
- Profile identifies a recruitment agency
- No
- Reported total investment
- 22,251,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market…
| Field | Value |
|---|---|
| Industry | Banking |
| Company size | 10,001+ employees |
| Headquarters | Toronto, Ontario |
| Organization type | Public Company |
| Specialties | financebankinginvestinginsurancefinancial planningwealth managementand capital markets |
| Open jobs on Jobsy | 1,061 |
| View page |
Job Description
What is the Opportunity?
Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.
As a Senior AI Engineer on the ASEDA team, you'll be building the agentic AI and generative AI systems that are transforming how the enterprise operates. Think AI agents that can reason, plan, use tools, and take action across real business workflows — not chatbot demos, but production systems that move the needle.
You'll build MCP servers, agent orchestration pipelines, and RAG systems that connect large language models to the enterprise. You'll own complex features end-to-end, collaborate closely with Staff and Principal Engineers on architecture, and raise the quality bar for the team. This is a role where your code ships, your technical depth matters, and you'll grow rapidly in one of the most exciting areas in software.
We value positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure and well-tested code.
What will you do?
- Build agentic AI systems — design and implement agent orchestration, MCP servers, RAG pipelines, and multi-agent workflows that run reliably in production
- Own complex features end-to-end — take ambiguous requirements and deliver well-architected, well-tested solutions from design through deployment
- Ship production AI — write clean, well-tested Python code for systems that real users and business teams depend on every day
- Drive quality and safety — contribute to evaluation frameworks, prompt versioning, guardrails, and observability so agent behavior stays reliable across model updates
- Collaborate and learn — work closely with Staff and Principal Engineers on architecture decisions, participate in code reviews, and share knowledge with the team
- Stay at the frontier — explore emerging models, frameworks, and protocols (MCP, A2A) and bring the best ideas back to the team
What do you need to succeed?
Must-Have
- Experience building production software systems — you know what it takes to ship and operate reliable code at scale
- Working hands-on experience with LLMs and generative AI in production or serious prototyping
- Working knowledge of agentic AI patterns — tool use, agent orchestration, ReAct, multi-step reasoning, memory and context management
- Strong Python skills and a commitment to writing clean, maintainable, production-grade code
- Experience building or contributing to RAG systems with vector databases, embeddings, and retrieval strategies
- Familiarity with MCP or similar agent-tool integration frameworks
- Comfort with cloud platforms (AWS, Azure, or GCP), containers (Docker/Kubernetes), and CI/CD
- Strong collaboration skills — you thrive in code reviews, design discussions, and pair programming
- Clear communicator who can explain technical decisions to both peers and business stakeholders
- Understanding of security, data governance, and responsible AI practices
Nice-to-Have
- Experience with agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI)
- Hands-on with AI observability tooling (LangSmith, LangFuse, Weights & Biases)
- Familiarity with multi-agent protocols (A2A) and the broader MCP ecosystem
- Background in NLP, information retrieval, or knowledge graphs
- Experience with prompt/context engineering — versioning, evaluation, and reproducibility
What’s in it for you?
- Work on what matters — agentic AI, MCP, and multi-agent systems are the most exciting frontier in software right now, and you'll be building it for one of the largest enterprises in the country
- Real impact, real visibility — your work will directly power AI capabilities in RBC
- Access to serious resources — leading foundation models, rich enterprise datasets, and significant compute
- Accelerate your growth — work alongside Staff and Principal Engineers, build deep expertise in agentic AI, and grow into technical leadership
- A team that builds — collaborative, fast-moving, and deeply technical — we ship production AI, not slide decks
- Competitive total rewards — compensation, performance bonuses, flexible benefits, and stock options where applicable
Job Skills
Agentic AI, Artificial Intelligence Technologies, Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Generative AI, LangGraph, Logical Data Modeling, Machine Learning (ML), Model Context Protocol, Predictive Analytics, Programming Languages, Relationship BuildingAdditional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2026-11-02Application Deadline:
2026-11-09Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our 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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