Enterprise Architect

Mindlance; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading company in capital markets is seeking a professional to evolve their GenAI framework. The role involves collaboration with senior executives, standardizing development capabilities, and aligning team requirements with strategic goals. Ideal candidates will possess strong technical skills and a deep understanding of capital markets.

Responsibilities

• Evolve capital markets GenAI framework and align with enterprise offering.
• Collaborate with senior executives on design choices.
• Form and communicate technology guidance for development.

Skills

Clear communication

Interpersonal skills

Software architecture understanding

Programming knowledge

Data technologies understanding

Capital markets knowledge

Machine learning knowledge

Model architectures understanding

GenAI capabilities understanding

Prompt engineering understanding

Ethical AI knowledge

Data processing knowledge

Experience with LLMs

Experience in regulated organizations

Job description

Job Description

The 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.

More generally, you’ll help to form and communicate technology guidance to standardize development of commonly needed capabilities. For instance, work with SMEs within markets and enterprise to determine our API strategy, build consensus, document it on Confluence, present it to senior leadership, and show development teams how to implement it.

Additionally, you’ll review proposed architectures to align specific team requirements with the high-level goals of capital markets leadership and the bank.

Required Skills

• Ability to communicate clearly and succinctly
• Interpersonal skills
• Strong understanding of software architecture (patterns, components, etc.)
• Strong understanding of programming (language pros/cons, 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 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

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environments in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.