AI Enterprise Architect, Senior Director

Salesforce•Herndon, VA

17h

About The Position

Salesforce is looking for a visionary Enterprise Architect, Senior Director – Agentforce for Supply Chain. Enterprise AI Transformation to lead our most strategic architecture engagements with our marquee customers at the intersection of AI, enterprise platforms, and digital transformation. In this role, you will partner directly with CIOs, CTOs, and Chief Architects at the world’s largest enterprises to help them reimagine their businesses through AI-powered innovation on the Salesforce Platform. You will drive the architectural vision for how the Salesforce suite is implemented at the most demanding enterprise scale. This is a high-trust, high-impact role shaping the future of how AI transforms customer experience, productivity, and decision-making for global organizations. You will also help build a global community of enterprise architects, creating alignment across customers, partners, and Salesforce teams around modern architectural patterns and responsible AI adoption.

Requirements

8+ years of experience in enterprise architecture, platform strategy, or technical advisory roles, with 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.
Passion for community-building—mentoring architects, hosting forums, and codifying best practices.
Exceptional communication skills and executive presence; able to lead architectural conversations at both strategic and technical levels.
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) to contextualize architecture recommendations for enterprise customers.
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 Haves

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) and the 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).

Responsibilities

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.
Define scalable architectural patterns for end-to-end implementation of the Salesforce suite, including AI, Data Cloud, Industry Clouds, and integration technologies.
Lead architectural modernization efforts, bridging legacy enterprise systems with modern cloud-native infrastructure and AI services.
Champion the use of trusted AI to transform workflows, automate decision-making, and personalize enterprise experiences at scale.
Establish and grow a global community of Salesforce architects across customers, system integrators (SIs), and ISVs to share best practices, patterns, and platform innovation.
Collaborate with Salesforce Product and Engineering teams to influence the platform roadmap based on real-world enterprise needs.
Publish architecture blueprints, transformation guides, and reference models that enable repeatable success across verticals.
Design and govern Agentforce architectures, including agentic workflow design, multi-agent orchestration, and agent lifecycle management across enterprise deployments.
Define AI governance frameworks to ensure responsible, compliant, and auditable AI adoption — including model risk management, bias evaluation, and ethical AI guardrails.
Support strategic pre-sales engagements by influencing enterprise architecture decisions and accelerating platform adoption across high-value pursuits.
Provide architectural governance and delivery oversight on complex implementations, ensuring alignment to enterprise standards, scalability requirements, and platform best practices.