AI Enterprise Architect, Senior Director

Salesforce Salesforce · Enterprise · VA · Remote

Senior Director, AI Enterprise Architect for Salesforce's Agentforce, focusing on leading strategic architecture engagements with marquee customers at the intersection of AI, enterprise platforms, and digital transformation. The role involves defining architectural vision, driving modernization, championing trusted AI, building a global community of architects, and influencing product roadmaps. Key responsibilities include designing and governing Agentforce architectures, defining AI governance frameworks, and supporting pre-sales engagements.

What you'd actually do

  1. Serve as a strategic partner to CIOs, CTOs, and Chief Architects at Fortune 1000 companies, helping shape their enterprise transformation through AI and the Salesforce platform.
  2. Define scalable architectural patterns for end-to-end implementation of the Salesforce suite, including AI, Data Cloud, Industry Clouds, and integration technologies.
  3. Lead architectural modernization efforts, bridging legacy enterprise systems with modern cloud-native infrastructure and AI services.
  4. Champion the use of trusted AI to transform workflows, automate decision-making, and personalize enterprise experiences at scale.
  5. Establish and grow a global community of Salesforce architects across customers, system integrators (SIs), and ISVs to share best practices, patterns, and platform innovation.

Skills

Required

  • 8+ years of experience in enterprise architecture, platform strategy, or technical advisory roles
  • Significant focus on cloud transformation and AI integration
  • Deep expertise in Salesforce architecture, including Agentforce, Data Cloud, Einstein AI, and Industry Cloud implementations at global scale
  • Track record of executive engagement and influence with C-level leadership at Fortune 1000 companies
  • Hands-on knowledge of AI/ML technologies, including predictive modeling, LLMs, automation, and ethical AI practices in enterprise settings
  • Strong understanding of data governance, integration patterns, and multi-org / hybrid cloud architectures
  • Experience with Agentforce and Agent Builder, including designing, deploying, and governing autonomous agents in enterprise environments
  • Deep industry vertical fluency in one or more sectors (e.g., Financial Services, Retail, Manufacturing, Healthcare)
  • Hands-on experience with integration platforms — particularly MuleSoft — and the ability to design robust, scalable data and API strategies across complex enterprise landscapes

Nice to have

  • Experience in a consulting, advisory, or CTO/CIO-facing role at a system integrator, platform vendor, or enterprise IT team
  • Familiarity with enterprise architecture frameworks (e.g., TOGAF, SAFe)
  • Ability to define and evolve architectural governance frameworks tailored to AI-driven transformation programs
  • Thought leadership or speaking experience at industry events or Salesforce forums (Dreamforce, World Tour, CTA Summit)

What the JD emphasized

  • Agentforce
  • AI governance
  • agentic workflow design
  • multi-agent orchestration
  • agent lifecycle management
  • model risk management
  • bias evaluation
  • ethical AI guardrails
  • Agent Builder
  • autonomous agents

Other signals

  • AI CRM
  • AI-powered innovation
  • Agentforce
  • AI governance
  • trusted AI