6 часов назад
Senior Manager AI Solutions Architecture (AI)
131 000 - 164 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager AI Solutions Architecture (AI/GenAI): Leading an internal AI Solutions function that embeds LLMs, RAG, copilots, agents, summarization, and classification into ERP, CRM, BI, and core IT platforms with an accent on production-grade integrations, reliability, security, and measurable business value. Focus on setting the AI roadmap, building hands-on prototypes and architectures, developing technical teams, and ensuring responsible AI governance and compliance.
Location: Vancouver, British Columbia, Canada; hybrid work model with onsite work at least 50% of the time for employees within commuting distance of a office
Salary: CAD 131,000–164,000 per year
Company
provides governance, risk, and compliance SaaS solutions through the One Platform.
What you will do
- Lead, coach, and grow a team of AI Solutions Architects and Engineers.
- Define the strategy, vision, roadmap, and portfolio for internal AI solutions.
- Design and deliver AI and GenAI solutions from prototypes through production deployment, monitoring, and continuous improvement.
- Embed RAG, copilots, agents, summarization, and classification into ERP, CRM, BI, and other enterprise systems.
- Advise senior and executive stakeholders on business value, KPIs, and ROI for AI initiatives.
- Drive responsible AI, governance, privacy, security, regulatory compliance, documentation, workshops, and AI literacy.
Requirements
- Hands-on player-coach experience with coding, prototypes, reference implementations, and complex technical problem solving.
- Experience building, leading, hiring, and developing technical teams, including performance and career management.
- Deep expertise in LLMs, RAG, agents and workflows, prompt engineering, and evaluation.
- Strong IT platform engineering experience with Atlassian, Microsoft 365/Azure, or comparable enterprise platforms.
- Experience integrating AI into CRM, ERP, BI, and other business platforms through APIs and cloud infrastructure, preferably AWS, with production deployments.
- Ability to own AI strategy and roadmaps while managing stakeholder expectations, KPIs, ROI, security, compliance, and responsible AI.
Nice to have
- Experience scaling an internal AI or AI enablement function in a global SaaS or large enterprise environment.
- Familiarity with MLOps/LLMOps, model lifecycle management, experiment tracking, evaluation, drift monitoring, containers, and CI/CD.
- Exposure to classical machine learning, analytics, scikit-learn, and dashboards.
Culture & Benefits
- Flexible hybrid work environment with office hubs across North America, Europe, Asia, and Australia.
- Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
- Global days of service and resources supporting diversity, inclusion, and employee resource groups.
- Creative, collaborative culture focused on experimentation, learning, and responsible innovation.
- Visa sponsorship may be available for select positions based on business needs and role requirements.
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