Remote Salesforce AI Architect — Data & Integrations Lead

Ladders; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Remote work flexibility

Travel opportunities

Flexible hours

Leadership collaboration

Team-building events

Job summary

Ladders is seeking a Salesforce Technical Architect, AI and Agentforce to shape scalable solutions at the intersection of Salesforce, AI-driven automation, and enterprise integrations. You will partner with business and technical stakeholders to translate requirements into designs that scale from concept to deployment.

The role emphasizes data modeling, ingested data activation across connected systems, and delivering outcomes that drive business impact while maintaining robust architectural

Qualifications

• 6+ years in application and software development.
• 4+ years in Salesforce development or technical architecture.
• Proficient in Apex and JavaScript; familiar with Python, Java, and C#.
• Experience with Salesforce Data 360 and third-party system integrations via REST APIs.

Responsibilities

• Lead technical solution design for AI agents and related platforms.
• Collaborate with cross-functional teams to translate business needs into solutions.
• Oversee the project lifecycle from design to deployment.
• Innovate AI agent solutions to enhance business outcomes.
• Design scalable data architectures on a customer data platform.
• Establish best practices for data ingestion into Salesforce.
• Define integration patterns between Salesforce and external systems.

Skills

Software development experience

Salesforce architecture

Apex and JavaScript

REST APIs

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Flows

Lightning Web Components

Job description

Ladders is seeking a Salesforce Technical Architect, AI and Agentforce to shape scalable solutions at the intersection of Salesforce, AI-driven automation, and enterprise integrations. You will partner with business and technical stakeholders to translate requirements into designs that scale from concept to deployment.

The role emphasizes data modeling, ingested data activation across connected systems, and delivering outcomes that drive business impact while maintaining robust architectural