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

Salesforce is an AI CRM company focused on helping organizations drive customer success through trusted data, AI, and automation. The Data & AI Technical Architect serves as a senior field specialist, helping customers design, evaluate, implement, and scale architectures involving Salesforce Data 360, Agentforce, and the broader enterprise data and AI ecosystem.

Responsibilities:

• Share a clear point of view on enterprise data and AI — how agents, data platforms, CRM, trust, identity, workflow, governance, and adoption come together into something that delivers value through Salesforce
• Deeply understand our data & AI products and articulate the value of the Salesforce platform
• Partner with sellers and solution teams to uncover customers' real problems, shape technical strategy, and pressure-test feasibility and cost-to-serve early
• Lead customer architectural discussions around Data 360, Agentforce, data structures and patterns, AI readiness, identity management, governance, integration, automation, and business value
• Build customer confidence through demos, prototypes, proofs of concept, reference patterns, and architectural walkthroughs that demonstrate what's real as well as what it will take to operationalize and scale
• Continuously scan the horizon and tinker to refine your judgement on what's worth building and how to build within the data and AI space
• Turn what you learn in the field into reusable assets, enablement, best practices, and product feedback that extend your impact beyond your immediate teams and stakeholders

Requirements:

• 7+ years experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments
• A track record of shaping technical strategy with input from customers and /or stakeholders, validating solution approaches, and connecting business needs to technology decisions
• Strong understanding of enterprise data, AI, integration, governance, security, privacy, and platform architecture concepts and patterns
• Experience working across Sales, Product, Engineering, Support, and delivery or customer teams to move solutions from idea to execution
• The ability to distill and communicate complex technical ideas to executive and technical audiences
• Demonstrated curiosity and learning velocity in emerging technologies — especially within the AI, data, automation, and agentic systems space
• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, other STEM degrees or equivalent work experience
• Graduate study a plus
• Salesforce Data 360 (Data Cloud), Agentforce, MuleSoft, Tableau, Informatica, or the broader Salesforce Platform
• Conversational AI, voice-enabled AI agents, real-time voice orchestration, telephony integrations, or multi-channel service experiences
• Modern data platforms such as Snowflake, Databricks, BigQuery, or RedShift, and the hyperscaler ecosystems around them
• AI agents, generative AI, AI governance and observability, external agent ecosystems, hyperscaler AI services, or enterprise automation
• Programming languages such as Python, common data structures and tooling, and AI-assisted development pipelines
• Building demos, prototypes, proofs of concept, workshops, reference architectures, or field enablement assets