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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.

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 within multi-agent systems.
Standardize Agentic Development Life Cycle (ADLC) across all engagements.
Oversee project delivery and ensure deployed agents meet customer needs while scaling 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 cross-functionally with Product, Engineering, and Sales leadership to shape the strategy and execution of Agentic AI solutions.
Oversee policies for data privacy and compliance.
Partner with internal security and legal teams to enforce responsible AI practices globally.

Requirements

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.

Skills

AI implementations
RAG
vector databases
search indexes
knowledge bases
distributed systems
event-driven architecture
asynchronous processing principles
LLM landscape
AI agents
multi-agent orchestration
data-driven decisioning
autonomous action design
MuleSoft
Einstein GenAI Agentforce

Location

California
New York
Boston
Chicago
Seattle
Washington DC

Work Type

Full-time

Experience Level

10+ years of experience in building and scaling enterprise-grade applications or enterprise AI systems
5+ years in leadership roles overseeing technical teams

Salary/Compensations

$196,700 - $299,390 annually
$216,370 - $329,210 per year

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
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.
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.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.
It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.