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Pre-Sales Data and AI Architect - Solution Engineering (Canada)

Salesforce - Canada - Toronto

Posted Mar 11, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Source-linked last checked May 7, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.

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Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

Pre-Sales Data and AI Architect - Solution Engineering (Canada) Canada - Toronto About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Delivering customer success with Data + AI + CRM + Trust requires more than product expertise; it requires deep technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI. You will work directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, real-time pipelines, identity systems, and governance frameworks. This role owns the technical architecture end-to-end: from deep discovery and system design, through hands-on validation, to production readiness and long-term scalability. Your work establishes the data foundation required

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