Senior Director, Forward Deployed Engineering

Salesforce • San Francisco, CA

1d

About The Position

Salesforce is seeking a technically adept Agent Builder Leader to lead its Forward Deployed Engineering team. The role provides strategic and technical leadership for a high-performing team delivering agentic AI solutions directly with customers. The leader will establish standards and an operating model for agentic capabilities, influence the product roadmap for agentic adoption, and foster innovation and continuous improvement.

The position defines strategy for agentic AI deployments across industries; establishes best practices and reference architectures for multi-agent intelligence, including Model Context Protocol, inter-agent communication, and AI orchestration; and standardizes the Agentic Development Life Cycle across engagements. It oversees project delivery and ensures deployed agents meet customer needs and scale reliably in enterprise production environments. The role also evangelizes Salesforce’s agentic architecture vision, develops a high-performing delivery team, collaborates with Product, Engineering, and Sales leadership, and oversees data privacy, compliance, and responsible AI practices with internal security and legal teams. Travel to customer sites may be required up to 30% of the time.

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 a proven 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 specifications, capabilities, ideal enterprise use cases, and the tooling ecosystem for major foundational and frontier models.
• Deep understanding of how AI agents operate within 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 across engagements.
• Oversee project delivery and ensure deployed agents meet customer needs and scale robustly 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 capable of delivering 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 internal security and legal teams to enforce responsible AI practices globally.
• Travel to customer sites as needed, up to 30% of the time.

Benefits

• Time off programs
• Medical insurance
• Dental insurance
• Vision insurance
• Mental health support
• Paid parental leave
• Life insurance
• Disability insurance
• 401(k)
• Employee stock purchasing program
• Potential eligibility for company bonus, sales incentives, and equity, as applicable

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed