Senior Director of Forward Deployed Engineering

Salesforce, Inc.; San Francisco (CA); Hybride; USD 260 000 - 360 000; Plein temps

Avantages offerts par ce poste

Medical Care

Life Insurance

Retirement Savings

Employee Assistance Programs

13 paid days off

Résumé du poste

Salesforce, Inc. seeks a technologically adept Agent Builder Leader to head the Forward Deployed Engineering Team. You will set strategy for agentic AI deployments, define standards for multi-agent orchestration, and guide architectural roadmaps across customer engagements.

Lead a high-performing team to deliver production-ready agentic systems, partner with Product, Engineering and Sales, and uphold governance and security policies globally.

Qualifications

• 10+ years building and scaling enterprise-grade apps or enterprise AI systems.
• 5+ years in leadership roles overseeing technical teams.
• Expert-level knowledge of distributed systems, event-driven architecture, and asynchronous processing.

Responsabilités

• Define the long-term strategy for Agentic AI deployments across industries.
• Establish best practices and reference architectures for Model Context Protocol and inter-agent communication.
• Standardize Agentic Development Life Cycle (ADLC) across engagements and ensure scalable, production-grade deployments.
• Evangelize Salesforce’s agentic architecture vision with customers, partners and ecosystem developers.
• Build a high-performing team capable of delivering enterprise-ready solutions.
• Collaborate with Product, Engineering and Sales leadership to shape strategy and execution.

Connaissances

Leadership

Enterprise AI

Multi-Agent AI

ADLC

Governance & Security

Stakeholder Engagement

Architecture

Outils

MuleSoft

Einstein GenAI

Agentforce

Description du poste

• 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
• 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

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Ability to think strategically while remaining technically credible with Product, Engineering and Architecture teams10+ years of experience in building and scaling enterprise-grade applications or enterprise AI systems, including 5+ years in leadership roles overseeing technical teamsExpertise in AI implementations, including RAG, vector databases, search indexes, and knowledge bases, specifically for grounding Agentforce solutions with enterprise dataCurrent, 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 ecosystemDeep understanding of how AI agents operate within enterprise ecosystems, including the principles of multi-agent orchestration, data-driven decisioning, and autonomous action designExpert-level knowledge of distributed systems, event-driven architecture, and asynchronous processing principlesExceptional communication and presentation skills, with proven ability to influence and engage executive stakeholders on complex technical roadmaps with both technical and non-technical teamsExperience architecting data or integration solutions using MuleSoft, or Einstein GenAI Agentforce or similar platformIndustry thought leader in the convergence of AI, and enterprise integrationsPrior experience leading multi-disciplinary teams in fast-scaling or global enterprise environmentsTrack record of production-ready deployments in secure, regulated enterprise environments