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

• As a Data & AI Technical Architect, you are the expert thought leader and senior field specialist for customers evaluating, implementing, and expanding their use of Salesforce Data 360 (Data Cloud), Agentforce, and the broader enterprise data and AI ecosystem
• Your work sits at the intersection of technical architectural, solution engineering, applied data and AI, and delivery-aware judgment on what it takes to make a solution succeed
• You help customers translate their data and AI ambitions into practical, actionable architectures
• This role asks you to go both deep and wide: deep on the trusted data and agent foundation that everything else depends on, and wide across the ecosystem on which your customers actually run their business — because real architecture lives at the seams between systems, not inside any single product
• 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

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- The ability to distill and communicate complex technical ideas to executive and technical audiences
• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, other STEM degrees or equivalent work experience. Graduate study a plus
• Experience working across Sales, Product, Engineering, Support, and delivery or customer teams to move solutions from idea to execution
• A track record of shaping technical strategy with input from customers and /or stakeholders, validating solution approaches, and connecting business needs to technology decisions
• Demonstrated curiosity and learning velocity in emerging technologies — especially within the AI, data, automation, and agentic systems space
• Strong understanding of enterprise data, AI, integration, governance, security, privacy, and platform architecture concepts and patterns
• 7+ years experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments
• 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- End Date: August 28, 2026