Senior Salesforce AI, Data Cloud & Analytics Architect

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If you want to make an impact on a global scale, come make a difference  Title Senior Salesforce AI, Data Cloud & Analytics Architect Role Summary You will serve as a hands-on enterprise Subject Matter Expert (SME) for Salesforce Agentforce, Data Cloud (Data 360), and Tableau Next. This role partners closely with Solution Architects, Sales, Service, Marketing, Data Platform, Security, and Business teams to design and deliver AI-powered, data-driven capabilities across the Salesforce ecosystem.

This individual is a hands-on technical and strategic contributor responsible for defining platform architecture, agent design patterns, data model strategy, semantic layer standards, integration approaches, governance practices, and analytics enablement for enterprise customer intelligence and AI-driven business processes.

Scope, Accountability & Impact (Senior Level)
· Typically 10+ years of experience in enterprise application architecture, CRM platforms, data platforms, analytics, AI-enabled solutions, or related technology domains.
· 5+ years of Salesforce architecture experience supporting enterprise-scale Sales, Service, Marketing, Data Cloud, analytics, or platform implementation initiatives.
· Serves as the primary SME for Agentforce, Data Cloud (Data 360), and Tableau Next architecture, implementation patterns, governance, and adoption strategy.
· Defines reusable architecture standards, reference designs, platform guardrails, and technical roadmaps for Salesforce AI, data, and analytics capabilities.
· Identifies and escalates platform, security, data quality, compliance, integration, scalability, and operational risks to Solution Architects, platform leadership, and enterprise architecture teams.
· Influences enterprise strategy related to AI adoption, customer intelligence, data activation, analytics modernization, and Salesforce platform consolidation.

Key Responsibilities Agentforce Strategy & AI Solution Architecture
· Serve as the enterprise SME for Salesforce Agentforce capabilities, AI agent design, and AI-enabled business processes.
· Design and support Agentforce agents, agent actions, orchestration patterns, prompts, grounding strategies, and enterprise use cases.
· Partner with business stakeholders to identify, assess, prioritize, and implement AI automation opportunities across Sales, Service, Marketing, and Operations.
· Define Responsible AI practices, security guardrails, approval patterns, escalation rules, testing approaches, and operational controls for production AI agents.
· Translate business objectives into practical Agentforce solution designs that are secure, scalable, supportable, and aligned with enterprise architecture standards.

Data Cloud (Data 360) Architecture & Customer Data Strategy
· Design and govern Salesforce Data Cloud architecture supporting customer 360, identity resolution, segmentation, activation, analytics, and AI use cases.
· Define enterprise customer data models, canonical entities, data mapping standards, harmonization approaches, and stewardship practices.
· Architect ingestion and integration of data from Salesforce, Snowflake, marketing platforms, service systems, ERP platforms, APIs, and other enterprise sources.
· Support batch, near real-time, and event-driven data patterns required to enable Agentforce, Tableau Next,…