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.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. 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.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $196,700 - $299,390 annually

There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $216,370 - $329,210 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
