Success Architect- Agentforce
About the role
Agentforce is the future of AI, and you are the future of Salesforce. As an Agentforce Success Architect, you will play a crucial role in driving successful outcomes for our strategic customers by leveraging your technical expertise in AI-driven agent design, orchestration, and automation.
Responsibilities
- Be a trusted Agentforce subject-matter expert for the broader Success Architect organization, including how data foundations like Data360 support the success of AI agents
- Engage with our Signature and Strategic customers to evaluate and recommend optimization strategies for technical architecture, dev/ops, performance, and solution design specific to Agentforce
- Identify and evaluate capability gaps for standard product capability or identify creative Architect solutions through customization
- Facilitate and influence Executive stakeholders while aligning technology strategy to business value and ROI
- Run playbooks aligned with our Success Architect engagement catalog, tailored to the unique needs and opportunities of Agentforce customers
- Build strong relationships with both internal and external business partners, contributing to broader goals and growth
- Drive thought leadership through mentoring and knowledge sharing
Requirements
- Must be a U.S. Citizen due to work with Federal Government
- Demonstrated ability to analyze, design, and optimize business processes focusing on agent architecture and automation, with a focus on guiding customers through adoption and optimization of Agentforce
- Deep understanding of AI agent design principles, including topics, actions, prompts, and orchestration, along with how underlying data quality and architecture impact agent performance
- Excellent communication skills, and ability to work collaboratively with cross-functional teams from Developer to Executive
- Able to facilitate discussions and translate technical concepts and solutions into tangible business value and ROI for customers
- Proactive and self-starting attitude with the ability to manage tasks independently while collaborating remotely with customers and colleagues
- Basic understanding and stay up-to-date with emerging AI and agentic technologies
- Values the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy
Qualifications
- Minimum degree or equivalent experience required
- Experience with Data360 or another Customer Data Platform (Segment, Tealium, Adobe Experience Platform, Amperity, Treasure Data, etc.) and how it grounds AI agents in trusted data
- Experience implementing Salesforce Clouds, multi-cloud scenarios: Sales, Service, Industries, Marketing, or Commerce
- Familiar with at least one of the Salesforce Architecture Domains: Integration, Access and Identity Management, Data Architecture, Sharing and Visibility, Declarative and APEX Development
- Experience designing, building, or evaluating AI agents, LLM-based automation, or conversational AI solutions
- Experience in programming languages such as Python, Java, .Net, SQL
Skills
- Technical expertise in AI-driven agent design, orchestration, and automation
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Knowledge of AI agent design principles and data quality impacts
- Experience with Customer Data Platforms and Salesforce Clouds
- Programming skills in relevant languages
Benefits
At Salesforce, we offer 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.
Pay
The typical base salary range for this position is $123,100 - $186,300 annually.
Schedule
This role is office-flexible, and the expectation is to work from the office three days per week.