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Director, AI Solutions Architect – lead AI & GenAI architecture at Brookfield, Toronto.
Drive enterprise AI solutions, governance, and responsible AI across business units.
Location
Brookfield Place - 181 Bay Street
Technology Services
Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.
Brookfield Culture
Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.
Role Summary
Leads the design of enterprise AI solutions that align business priorities, data foundations, architecture standards, and platform capabilities. This role translates complex business needs into scalable, secure, and governed AI solution designs, including GenAI and agent-based use cases. Partners with business, product, data, engineering, security, and governance teams to move high-value AI solutions from concept to production.
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
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.