Salesforce Agentforce Success Engineer 

United States, Indiana, Indianapolis 

293102676

Job Category

Job Details

You will partner closely with customers, internal account teams, product experts, and cross-functional stakeholders to translate complex business needs into AI-driven Salesforce agents that deliver tangible, measurable business outcomes. You will analyze requirements, design and implement intelligent Agentforce-powered agents within Salesforce, and continuously optimize the experience & performance to drive business value and consumption.

Responsibilities:

• Assess technical and business readiness and map organizational processes through direct customer engagement

• Lead the end-to-end design, configuration, and deployment of Agentforce agents within Salesforce; building agents that meet compliance requirements, business logic, and customer experience goals

• Recommend opportunities to reengineer processes by combining AI agent capabilities with Salesforce automation tools such as Flows and OmniStudio

• Identify and provide recommendations on data strategy, data quality, governance (e.g., legal reviews, AI council), and software development lifecycle best practices.

• Define and orchestrate agent actions, configure and maintain each agent’s topics, and create and optimize prompt engineering strategies to improve agent performance, relevance, and accuracy

• Build and maintain guardrails to govern agent behavior, ensuring safe, compliant, and brand-aligned responses, including risk mitigation, escalation paths, constraints, and tone-of-voice calibration

• Implement and configure leading large language models (LLMs) like GPT-4 for Salesforce agents

• Perform testing and refinement in customer environment throughout deployment to optimize agent performance

• Track performance metrics and user feedback; execute iterative improvements based on performance metrics to grow Agentforce consumption

• Implement feedback and collaborate actively with Product organization before, during, and after agent deployments; execute pilot programs and beta testing of new features

• Build and maintain knowledge bases and technical documentation for internal and customer use

• Develop and implement standardized agent deployment processes; create and maintain integration patterns across Salesforce platforms

• Serve as a key feedback conduit between customer implementations and the Salesforce TMP organization

• Deliver guidance on best practices to ensure customers can self-sustain their Agentforce implementation.

• Exceptional communication and presentation skills with demonstrated ability to communicate and influence effectively at all levels of the organization, including executive and C-level

• Ability to explain complex technical concepts in business-friendly terms to customers, then explain customer needs to internal partners.

Minimum Requirements:

• 5+ years experience with cloud based technologies and architecture principles

• Advanced or expert knowledge of Salesforce and Agentforce and AI

• Experienced with Data Cloud or similar data integration platforms

• Other Salesforce Certs such as Advanced Admin, Service Cloud, Data Cloud, Agentforce, or Sales Cloud

• Solid understanding of AI concepts, especially conversational AI or intelligent agents.

• Hands-on experience integrating Large Language Models (LLMs) or AI services into applications

• Experience with AI orchestration frameworks or prompt engineering

• Demonstrated ability to grasp and learn new business models and technology paradigms

• Cloud technologies and low codeintegration/automationsolutions

• Consistent proactive thinking and the desire to self-start on learning and applying new technologies.

• Ability to design scalable solutions for complex business requirements.

• Skilled in debugging, optimizing, and ensuring the reliability of integrated AI-Salesforce solutions.

• Strong proficiency in Salesforce Flow, Lightning Web Components (LWC), Apex, Salesforce APIs, and Agent Studio

Preferred Requirements:

• Familiarity with building Einstein Bots or Agentforce agents is a major plus.

• Experience deploying conversational AI solutions within regulated or highly sensitive environments (e.g., healthcare, finance).

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Posting Statement

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. For New York-based roles, the base salary hiring range for this position is $177,600 to $244,200. For Washington-based roles, the base salary hiring range for this position is $162,600 to $223,700. For California-based roles, the base salary hiring range for this position is $177,600 to $244,200. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: