Solutions Architect

🔥 7 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ListEngage

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2004

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

ListEngage is a Salesforce-focused digital transformation and services firm that specializes in Marketing Cloud, Data 360, Agentforce (custom agent actions), and applied AI integrations. With 20+ years of experience and more than 3,000 customer engagements, ListEngage positions itself as a full-stack Marketing Cloud partner and the #1 Salesforce Partner for Data & AI, offering Salesforce implementation, optimization, personalization, analytics, managed services, and strategic consulting through an Innovation Lab for AI-driven automation and customer activation. They serve enterprise and mid-market clients across multiple verticals including healthcare, financial services, retail, communications, travel, manufacturing, and more.

📋 Description

• Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds • Build and configure custom Agent Actions using Flows, Apex, Prompt Templates, and MuleSoft APIs • 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 LLMs 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 based on conversation metrics • Troubleshoot and resolve issues related to agent responses, actions, and integrations

🎯 Requirements

• 3+ years of development and configuration experience within 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 with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce • Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) • Experience with Data Cloud or similar customer data platforms • Knowledge of programming languages such as JavaScript, Python, and/or Apex • Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques • Experience with agent testing methodologies and conversation design principles • Required Salesforce Administrator certification • Required AgentBlazer Champion certification • Required Platform Developer I certification • 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 with 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 vs. traditional automation, including Flows and Apex • Familiarity with multi-agent orchestration and handoff patterns • Knowledge of Salesforce metadata deployment, including DevOps, change sets, or CI/CD pipelines • Excellent problem-solving skills and ability to debug complex agent behaviors • Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders

🏖️ Benefits

• Competitive salary and performance-based incentives • Comprehensive benefits package, including health, dental, and vision insurance • Opportunities for professional development and career growth • A collaborative and inclusive work environment • 100% remote work arrangements (minimal travel may be required per client need)

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