Senior Director, Forward Deployed Engineering

About Salesforce:
We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
About the Role:
We are seeking a technically adept and innovative Agent Builder Leader to join our Forward Deployed Engineering Team. You will lead a high performing Agent Builder expert team to deliver Agentic solutions directly with customers. Your primary responsibility will be to provide strategic and technical leadership, fostering innovation and cultivate a culture focused on continuous improvement. As a key member of the Agentforce leadership team, you will define the standards, and operating model that allow Agentic AI capabilities, directly influencing the product roadmap for agentic adoption across our customer base.
Your Impact:
Strategic Leadership: Define the long-term strategy for Agentic AI deployments across industries.
Drive Multi-Agent Intelligence: Establish best practices and reference architectures for Model Context Protocol (MCP), inter-agent communication, and AI orchestration within multi-agent systems.
Own Agentic Development Life Cycle (ADLC): Standardize ADLC across all the engagements. Oversee project delivery and ensure the deployed agents meet customer needs while scaling robustly in enterprise production environments.
Internal and External Thought Leadership: Evangelize Salesforce’s agentic architecture vision internally and with strategic customers, industry partners, and ecosystem developers.
Operational Excellence: Build a high-performing team capable of delivering enterprise-ready, production-grade agentic systems.
Cross-functional Collaboration: Partner cross-functionally with Product, Engineering, and Sales leadership to shape the strategy and execution of Agentic AI solutions.
Governance and Security Stewardship: Oversee policies for data privacy, and compliance. Partner with internal security and legal teams to enforce responsible AI practices globally.
Required Qualifications:
10+ years of experience in building and scaling enterprise-grade applications or enterprise AI systems, including 5+ years in leadership roles overseeing technical teams.
Exceptional communication and presentation skills, with proven ability to influence and engage executive stakeholders on complex technical roadmaps with both technical and non-technical teams.
Expertise in AI implementations, including RAG, vector databases, search indexes, and knowledge bases, specifically for grounding Agentforce solutions with enterprise data.
Expert-level knowledge of distributed systems, event-driven architecture, and asynchronous processing principles.
Current, comprehensive knowledge of the LLM landscape, including the specifications, capabilities, and ideal use cases for major foundational and frontier models relevant to enterprise AI deployment, along with the tooling ecosystem.
Deep understanding of how AI agents operate within enterprise ecosystems, including the principles of multi-agent orchestration, data-driven decisioning, and autonomous action design.
Ability to think strategically while remaining technically credible with Product, Engineering and Architecture teams.
Ability to travel 30% of the time, as needed to customer sites.
Preferred Qualifications
Experience architecting data or integration solutions using MuleSoft, or Einstein GenAI Agentforce or similar platform.
Industry thought leader in the convergence of AI, and enterprise integrations.
Prior experience leading multi-disciplinary teams in fast-scaling or global enterprise environments.
Track record of production-ready deployments in secure, regulated enterprise environments.

Employment type
Full time