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ListEngage

Salesforce consulting, implementation, and optimization

Agentforce Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 3 years of development and configuration experience within the Salesforce Platform.
  • Hands-on experience building and deploying Agentforce agents in production environments.
  • Expertise in Salesforce Flow, including autonomous-mode flows, and Apex for custom agent actions.
  • Experience developing and integrating APIs, including designing and consuming RESTful APIs through MuleSoft or native Salesforce.
  • Proficiency in prompt engineering and working with large language models such as GPT-4 and Claude.
  • Experience with Data Cloud or similar customer data platforms.
  • Knowledge of programming languages such as JavaScript, Python, and/or Apex.
  • Understanding of artificial intelligence and machine learning concepts, retrieval-augmented generation, and grounding techniques.
  • Experience with agent testing methodologies and conversation design principles.
  • Required Salesforce certifications: Salesforce Administrator, AgentBlazer Champion, and Platform Developer I.
  • Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine.
  • Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails.
  • Strong prompt engineering skills and the ability to iterate and optimize agent instructions.
  • Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents.
  • Experience with agent performance monitoring, A/B testing, and continuous improvement.
  • Ability to translate business requirements into agent capabilities and action plans.
  • Strong understanding of when to use agents versus traditional automation such as Flows and Apex.
  • Familiarity with multi-agent orchestration and handoff patterns.
  • Knowledge of Salesforce metadata deployment, including DevOps, change sets, or CI/CD pipelines.
  • Ability to debug complex agent behaviors.
  • Ability to explain agent capabilities and limitations to non-technical stakeholders.

Responsibilities

  • Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds.
  • Build and configure custom Agent Actions, including Flows, Apex, Prompt Templates, and MuleSoft APIs, to extend agent capabilities.
  • Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses.
  • Create proof of concepts to evaluate agent feasibility and demonstrate business value before full implementation.
  • Develop custom Prompt Templates and engineer system prompts for optimal agent performance.
  • Integrate agents with Data Cloud, external systems, and third-party large language models using MuleSoft or APIs.
  • Implement agent security, including Einstein Trust Layer configuration and data masking.
  • Perform unit testing and simulation testing, and support user acceptance testing.
  • Monitor agent performance analytics and continuously optimize agents based on conversation metrics.
  • Troubleshoot and resolve issues related to agent responses, actions, and integrations.

Desired Qualifications

  • Preferred certifications: AgentBlazer Legend, Salesforce Platform App Builder, Agentforce Specialist, Platform Developer II, Data Cloud Consultant, and Integration Architect for complex implementations.

About the Company

ListEngage

Salesforce consulting, implementation, and optimization

ListEngage helps organizations unlock the value of Salesforce by providing end-to-end consulting and implementation services across Salesforce clouds (Marketing Cloud, Sales Cloud, Service Cloud, Data Cloud) and Pardot. It offers strategic planning, platform deployment and optimization, data integration, and ongoing CRM support, with additional AI-powered solutions to automate workflows and tailor customer engagement. The company differentiates itself through a long history (founded in 2003), a track record of more than 5,000 projects for 3,000+ customers, recognition as a Salesforce Silver Partner and, in 2023, the Marketing Cloud Full Stack Partner designation; it also expanded capabilities by acquiring 1to1 in 2024 to strengthen AI-driven personalization. The goal is to help clients achieve a higher return on investment from Salesforce by guiding digital transformation and delivering cross-cloud, data-driven customer experiences.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Framingham, MA
Founded
2005

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