Director, AI Solutions Architect

Key Responsibilities

Assess business problems and define end-to-end AI solution architectures aligned to enterprise priorities

Translate product and business requirements into scalable, secure, and supportable AI designs

Define architecture patterns for AI, GenAI, retrieval-based, and agent-enabled solutions

Ensure solution designs are grounded in trusted data, integration, and platform architecture standards

Partner with product owners, data architects, engineers, and business stakeholders to shape implementation roadmaps

Guide technology selection, integration patterns, and design decisions across AI solution components

Establish non-functional requirements for security, governance, performance, resiliency, and supportability

Ensure AI solutions align with responsible AI, risk, compliance, and control requirements
Review and govern solution designs through architecture checkpoints and design standards

Support pilots, production deployments, and architecture evolution based on business feedback and operational learnings

Required Experience

10+ years of experience in enterprise architecture, solution architecture, data architecture, or AI-related roles

Proven experience designing and delivering complex enterprise technology solutions across multiple systems and stakeholders

Experience with AI, machine learning, GenAI, or advanced analytics solutions in production environments

Experience working with cloud platforms, enterprise data ecosystems, APIs, and integration patterns

Experience operating in regulated, security-conscious, or highly governed enterprise environments

Experience partnering with business leaders to translate strategic priorities into architecture designs

Skills & Qualifications

Technical knowledge and systems expertise: Deep understanding of enterprise architecture, AI and machine learning, GenAI, data platforms, integration patterns, and the data foundations required for scalable AI and agent-based solutions.

Analytical and problem-solving skills: Ability to assess complex business and technical challenges and translate them into scalable, practical, and governed solution designs.

Communication and collaboration capabilities: Strong executive communication, stakeholder management, and cross-functional influence skills.

Ability to work in cross-functional or global teams: Experience operating across global teams and aligning business, product, architecture, engineering, security, and governance stakeholders.

Understanding of technology governance, security, or operational practices: Strong understanding of responsible AI, risk management, security, compliance, and operational design requirements for enterprise AI solutions.

Preferred Qualifications

Experience in financial services, asset management, or similarly complex industries

Experience designing AI solutions that support decision-making, workflow automation, or knowledge-based use cases

Familiarity with modern cloud-based data and AI platforms and MLOps or model operations practices

Experience with architecture governance, design review processes, or enterprise architecture frameworks

Exposure to retrieval-augmented generation, knowledge architectures, or agent orchestration patterns

Salary Range: $150,000 - $185,000 CAD

Position Opening Reason:

New Position

Brookfield is committed to maintaining a Positive Work Environment that is safe and respectful; our shared success depends on it. Accordingly, we do not tolerate workplace discrimination, violence or harassment.

Brookfield is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act. Should you require a Human Rights Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs.