Pre-Sales Data and AI Architect - Solution Engineering (United States)
AI summary of the role
Senior pre-sales Data & AI Architect responsible for designing and validating enterprise-grade data and AI architectures centered on Salesforce D360 and Agentforce.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own and drive the full technical lifecycle from deep discovery and system design to architecture validation and technical close
- Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM)
- Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals
- Define repeatable industry-specific reference architectures built on D360 that scale across accounts
What you’ll bring
- 7+ years hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments
- Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Hands-on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter)
- Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services
Technologies
Salesforce D360 · Agentforce · Snowflake · Databricks · BigQuery · Redshift · Python · R · Tableau · Looker · Power BI
About Salesforce
Salesforce sells CRM, data, integration, analytics and collaboration software now unified around Agentforce AI agents for enterprise customer workflows.
Public · 5000+ people
Source and classification
Technical pre-sales · Evidence for this classification:
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
More from the job description
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 futur [... source excerpt omitted ...] 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 foundati [... source excerpt omitted ...] ta 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 c
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