Pre-Sales Data and AI Architect - Solution Engineering (United States)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details 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. 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 for trusted AI, agentic workflows, and measurable business outcomes. Your Impact Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in-person and virtual engagements. Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems). Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360. Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities. Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate D360 adoption. Define repeatable industry-specific reference architectures built on D360 that scale across accounts and drive consistent outcomes. Collaborate deeply with Salesforce Product & Engineering teams to: Influence roadmap through high-signal Voice of the Customer feedback Validate architectural patterns against upcoming D360 capabilities Act as a technical authority during escalations, architecture reviews, and executive-level design discussions. Produce high-fidelity technical assets (architecture diagrams, Demos, governance models, activation patterns) used by field teams, partners, and customers. Serve as a t ... (truncated, view full listing at source)