1 день назад
Director, AI Solutions Architect
150 000 - 185 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, AI Solutions Architect (Enterprise AI/GenAI): Designing and governing scalable, secure AI solutions that translate business priorities, trusted data, and platform capabilities into production systems with an accent on enterprise architecture, GenAI, retrieval-based solutions, and agent-enabled use cases. Focus on defining integration and technology patterns, establishing security and governance requirements, and guiding complex AI implementations across business, engineering, data, and security stakeholders.
Location: Place, 181 Bay Street, Toronto, Ontario, Canada
Salary: CAD 150,000–185,000 per year
Company
’s Technology Services organization delivers enterprise infrastructure, applications, and end-user technology services across its business groups.
What you will do
- Design end-to-end enterprise AI solutions aligned with business priorities, data foundations, architecture standards, and platform capabilities.
- Define scalable, secure, supportable architecture patterns for AI, GenAI, retrieval-based, and agent-enabled solutions.
- Translate business and product requirements into technology selections, integration patterns, and implementation roadmaps.
- Establish non-functional requirements covering security, governance, performance, resiliency, compliance, and supportability.
- Partner with product owners, data architects, engineers, business stakeholders, security, and governance teams.
- Review solution designs, support pilots and production deployments, and evolve architectures based on operational feedback.
Requirements
- 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.
- Production experience with AI, machine learning, GenAI, or advanced analytics solutions.
- Experience with cloud platforms, enterprise data ecosystems, APIs, and integration patterns.
- Experience in regulated, security-conscious, or highly governed enterprise environments.
- Strong executive communication, stakeholder management, cross-functional influence, and understanding of responsible AI, risk, security, and compliance.
Nice to have
- Experience in financial services, asset management, or similarly complex industries.
- Experience designing AI solutions for decision-making, workflow automation, or knowledge-based use cases.
- Familiarity with cloud-based data and AI platforms, MLOps, architecture governance, and enterprise architecture frameworks.
- Exposure to retrieval-augmented generation, knowledge architectures, or agent orchestration patterns.
Culture & Benefits
- Work in a collaborative, entrepreneurial, and disciplined environment.
- Receive challenging assignments and exposure to diverse business areas.
- Join an organization committed to a safe, respectful, accessible, and inclusive workplace.
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