Senior Salesforce AI Architect

TechWish

$150K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in Salesforce architecture and platform engineering.
  • Deep expertise in Sales Cloud, Service Cloud, Marketing Cloud, and MuleSoft.
  • Hands-on experience with Salesforce Einstein and related AI tools.
  • Proficiency in designing enterprise CRM solutions and AI adoption strategies.
  • Strong stakeholder management and executive communication skills.

Responsibilities

  • Partner with GCP AI on AI strategy and roadmap.
  • Align Salesforce AI capabilities with enterprise AI initiatives.
  • Deliver AI use cases across various Salesforce Clouds.
  • Architect solutions using Salesforce AI tools and technologies.
  • Design reusable AI frameworks for CRM workflows and customer engagement.
  • Integrate Salesforce securely with enterprise AI services.
  • Define and uphold responsible AI governance and compliance practices.

Benefits

  • Opportunity to drive innovative AI solutions in a leading platform.
  • Collaborate with top AI and enterprise architecture teams.
  • Engage in cross-platform AI transformation initiatives.
  • Access to advanced technology and tools for solution development.
Full Job Description
Role Overview
We are seeking a Senior Salesforce AI Architect to drive scalable AI adoption and business
transformation across the Salesforce ecosystem. The role focuses on delivering AI-enabled
business outcomes while defining enterprise architecture standards, governance, and integration
patterns aligned with broader AI strategy.
Key Responsibilities
• Partner with GCP AI and enterprise architecture teams on AI strategy and roadmap.
• Align Salesforce AI capabilities with enterprise AI initiatives and evaluate build-vs-buy decisions.
• Deliver AI use cases across Sales, Service, Marketing, and Experience Clouds.
• Architect solutions using Salesforce Einstein, Agentforce, Einstein Copilot, Data Cloud, Flow
Automation, and MuleSoft.
• Design reusable AI frameworks for CRM workflows, automation, copilots, and customer
engagement.
• Integrate Salesforce securely with enterprise AI services, APIs, and platforms.
• Define responsible AI governance, security, privacy, and compliance practices.
• Enable engineering teams with standards, templates, and operational best practices.

Required Qualifications
• 8+ years of Salesforce architecture and platform engineering experience.
• Deep expertise in Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, MuleSoft, and
Salesforce platform architecture.
• Hands-on experience with Salesforce Einstein, Agentforce, Einstein Copilot, and Data Cloud.
• Experience designing enterprise CRM solutions and AI/GenAI adoption strategies.
• Strong stakeholder management and executive communication skills.

Preferred Qualifications
• Salesforce Certified Technical Architect (CTA) preferred.
• Experience integrating with GCP Vertex AI, OpenAI, or Azure OpenAI.
• Familiarity with AI orchestration, RAG, copilots, and conversational AI.
• Experience leading enterprise AI transformation initiatives and cross-platform collaboration.

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