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Enterprise Architect

Job in Toronto, Ontario, C6A, Canada
Listing for: HRbrain Inc.
Part Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CAD Yearly CAD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

What is the opportunity? The central architecture team is not aligned to a specific domain within markets but rather supports the entire department. You’ll have broad exposure to all asset classes and aspects of the business front to back, and exposure to a wide breadth of technologies and design patterns reflecting the varying needs of different parts of the business.

Responsibilities
  • Initial primary focus will be on evolving our capital markets GenAI framework and aligning it with the enterprise offering. This will involve collaboration with senior executives on design choices to ensure our domain requirements are incorporated in the target solution.
  • Help to form and communicate technology guidance to standardize development of commonly needed capabilities. For example, work with SMEs within markets and enterprise to define our API strategy, build consensus, document it on Confluence, present it to senior leadership, and show dev teams how to implement it.
  • Review proposed architectures to align specific team requirements to the high-level goals of capital markets leadership and the bank. Considerations may include infrastructure choices (e.g., internal cloud vs. physical machines), data stores (e.g., Redis versus MemSQL), and integration points (e.g., RBCAppA vs RBCAppB).
What do you need to succeed?
  • Ability to communicate clearly and succinctly
  • Interpersonal skills
  • Strong understanding of software architecture (patterns, components, etc.)
  • Strong understanding of programming (language tradeoffs, threading implications, etc.)
  • Strong understanding of data technologies (stores, access patterns, caching, etc.)
  • Broad understanding of capital markets
  • Foundational knowledge of machine learning and deep learning
  • Understanding of model architectures (transformers, GANs, etc.)
  • Understanding of GenAI capabilities/use cases and concerns/considerations
  • Understanding of prompt engineering and RAG techniques
  • Understanding of Ethical AI and responsible implementation
  • Knowledge of data processing and management
  • Experience with large language models (LLMs)
  • Experience working on GenAI solutions in large, regulated organizations
Nice-to-have
  • Deep understanding of capital markets products
  • Ability to influence others
  • Experience with cloud architecture
What’s in it for you?
  • Work with seasoned veterans of enterprise architecture who can support your growth
  • Help to shape the direction of capital markets technology at Canada’s biggest bank
  • Present to senior executives
  • Access to a world-class training program in financial services
  • Flexible work/life balance options

Hybrid (2-3 days a week)

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