Senior Director, Forward Deployed Engineering

Salesforce•Chicago, IL

2d•$196,700 - $329,210

About The Position

Salesforce is seeking a technically adept Agent Builder Leader for its Forward Deployed Engineering Team. The role leads a high-performing team delivering agentic solutions directly with customers and provides strategic and technical leadership, encourages innovation, and fosters continuous improvement. As a member of the Agentforce leadership team, the Senior Director defines standards and operating models for agentic AI capabilities and influences the product roadmap for agentic adoption across Salesforce customers.

Requirements

10+ years of experience 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 the ability to influence and engage executive stakeholders on complex technical roadmaps with technical and non-technical teams.
Expertise in AI implementations, including RAG, vector databases, search indexes, and knowledge bases, particularly 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, ideal use cases of major foundational and frontier models relevant to enterprise AI deployment, and the tooling ecosystem.
Deep understanding of AI agents in enterprise ecosystems, including 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.

Nice To Haves

Experience architecting data or integration solutions using MuleSoft, Einstein GenAI Agentforce, or a similar platform.
Industry thought leadership in the convergence of AI and enterprise integrations.
Prior experience leading multidisciplinary teams in fast-scaling or global enterprise environments.
A track record of production-ready deployments in secure, regulated enterprise environments.

Responsibilities

Define the long-term strategy for agentic AI deployments across industries.
Establish best practices and reference architectures for Model Context Protocol (MCP), inter-agent communication, and AI orchestration in multi-agent systems.
Standardize the Agentic Development Life Cycle (ADLC) across engagements.
Oversee project delivery and ensure deployed agents meet customer needs and scale reliably in enterprise production environments.
Evangelize Salesforce’s agentic architecture vision internally and with strategic customers, industry partners, and ecosystem developers.
Build a high-performing team that delivers enterprise-ready, production-grade agentic systems.
Partner with Product, Engineering, and Sales leadership to shape the strategy and execution of agentic AI solutions.
Oversee data privacy and compliance policies, partnering with security and legal teams to enforce responsible AI practices globally.