Description

Role Overview: We are seeking a Senior Salesforce AI Architect to drive scalable AI adoption and business transformation across the Salesforce ecosystem. This role will focus on delivering practical AI-enabled business outcomes while establishing long-term architecture standards and enterprise AI integration patterns. The ideal candidate has deep Salesforce platform expertise combined with strong understanding of enterprise AI strategy, customer engagement workflows, automation, and AI-powered user experiences. This individual will work closely with the Google Cloud Platform AI Architect and enterprise architecture teams to align Salesforce AI capabilities with the broader enterprise AI strategy. This role will play a critical part in balancing rapid delivery of business value with scalable, governed, and maintainable AI architecture decisions across the Salesforce platform.

AI Strategy & Enterprise Alignment: Partner with the Google Cloud Platform AI Architect and enterprise architecture teams to shape the enterprise AI strategy and roadmap. Define how Salesforce AI capabilities align with broader enterprise AI platform initiatives. Evaluate Salesforce-native AI offerings, third-party AI tools, and custom AI solutions to support build-vs-buy decisions. Help establish scalable AI architecture and governance standards across Salesforce domains.

AI Use Cases & Business Value Delivery: Identify and deliver high-value AI use cases across Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, and customer operations. Drive practical AI adoption focused on improving customer experience, productivity, automation, insights, and operational efficiency. Rapidly prototype and implement AI solutions that demonstrate measurable business impact. Partner with business stakeholders to prioritize scalable AI opportunities.

Salesforce AI Solution Architecture: Architect AI-powered solutions leveraging Salesforce Einstein Agentforce Einstein Copilot Data Cloud Flow Automation MuleSoft Salesforce AI capabilities and ecosystem tools Design reusable frameworks and patterns for AI-enabled CRM workflows, customer service automation, copilots, and intelligent engagement. Establish architecture standards for AI implementations across Salesforce platforms. Ensure scalability, maintainability, and enterprise alignment of AI solutions.

Required Qualifications: 8+ years of Salesforce architecture and platform engineering experience. Strong expertise across Sales Cloud Service Cloud Experience Cloud Marketing Cloud MuleSoft Salesforce platform architecture Hands-on experience with: Salesforce Einstein Agentforce Einstein Copilot Data Cloud Experience designing enterprise CRM and customer engagement solutions. Strong understanding of AI/GenAI adoption patterns and enterprise AI strategy. Experience evaluating build-vs-buy AI technology decisions. Strong collaboration and stakeholder management skills. Excellent communication and executive presentation capabilities.

Preferred Qualifications: Salesforce Certified Technical Architect (CTA) preferred. Experience integrating Salesforce with enterprise AI platforms such as Google Cloud Platform Vertex AI, OpenAI, or Azure OpenAI. Familiarity with AI orchestration, copilots, RAG, and conversational AI solutions. Experience working on enterprise AI transformation initiatives. Experience collaborating across multiple enterprise platform teams including ServiceNow and cloud engineering

Key Skills

Education

Any Graduate