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Salesforce Integration Mulesoft Jobs (NOW HIRING)

Senior Salesforce AI Developer

San Francisco, CA · On-site

$147K - $180K/yr

Utilize MuleSoft and Salesforce integration technologies. AI Governance & Compliance Support Follow responsible AI, security, privacy, and compliance guidelines. Support governance controls for AI ...

MuleSoft Developer

Mount Laurel Township, NJ · Hybrid

$49.75 - $66/hr

... integration solutions, including Salesforce integrations. * Participate in architectural ... MuleSoft (Anypoint Platform), Kafka, Python * monitoring tools such as Dynatrace and Splunk

... with Salesforce Integrations * 8 Years of Experience with Cloud and Hybrid Integrations ... MuleSoft Certified Integration Architect - Level 1 * MuleSoft Certified Platform Architect - Level ...

... with Salesforce Integrations * 8 Years of Experience with Cloud and Hybrid Integrations ... MuleSoft Certified Integration Architect - Level 1 * MuleSoft Certified Platform Architect - Level ...

Mulesoft Developer

Plano, TX · On-site

$47 - $62.25/hr

Integrate MuleSoft with platforms such as Salesforce Marketing Cloud and ERP applications. * Collaborate closely with architecture teams and business stakeholders to deliver scalable solutions.

Mulesoft Developer

Plano, TX · On-site

$47 - $62.25/hr

Integrate MuleSoft with platforms such as Salesforce Marketing Cloud and ERP applications. * Collaborate closely with architecture teams and business stakeholders to deliver scalable solutions.

MuleSoft Integration Architect

Mclean, VA · On-site +1

$150K - $180K/yr

... with Salesforce Integrations * 8 Years of Experience with Cloud and Hybrid Integrations ... MuleSoft Certified Integration Architect - Level 1 * MuleSoft Certified Platform Architect - Level ...

MuleSoft Developer

Dallas, TX · On-site

$49.75 - $66/hr

... in integrating Mulesoft with Salesforce Marketing cloud and ERP applicationsProven industry experience with focused integration experienceFrame and implement best practices related to Mule ...

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Salesforce Integration Mulesoft information

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$11

$62

$88

How much do salesforce integration mulesoft jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for salesforce integration mulesoft in the United States is $62.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $70.67 per hour, depending on experience, location, and employer.

What are Salesforce Integration Mulesoft professionals?

Salesforce Integration Mulesoft professionals specialize in connecting Salesforce with other systems using MuleSoft, a leading integration platform. They design, develop, and manage APIs and workflows that enable seamless data exchange between Salesforce and various applications, databases, or services. Their work ensures that businesses can automate processes, synchronize data, and enhance overall system efficiency. These professionals often have deep knowledge of both Salesforce and MuleSoft technologies, as well as experience in cloud integration and API management.

What are the key skills and qualifications needed to thrive as a Salesforce Integration MuleSoft professional, and why are they important?

To thrive as a Salesforce Integration MuleSoft professional, you need strong expertise in API integration, data mapping, and hands-on experience with MuleSoft Anypoint Platform and Salesforce, often supported by MuleSoft and Salesforce certifications. Proficiency in tools like MuleSoft Anypoint Studio, DataWeave, and experience with REST/SOAP APIs, as well as CI/CD systems, are typically required. Excellent problem-solving, communication, and project management skills help you effectively collaborate across teams and resolve complex integration challenges. These skills ensure seamless, scalable integration solutions that drive business efficiency and digital transformation.

What is the difference between Salesforce Integration Mulesoft vs Salesforce Developer?

AspectSalesforce Integration MulesoftSalesforce Developer
Primary FocusDesigning and implementing API-led integrations using MulesoftCustomizing and developing Salesforce applications and features
Required SkillsMuleSoft Anypoint Platform, API management, integration patternsApex, Visualforce, Lightning components, Salesforce platform knowledge
CertificationsMuleSoft Certified Developer, Salesforce certificationsSalesforce Certified Platform Developer
Work EnvironmentIntegration projects across multiple systems, often in cloud environmentsSalesforce platform customization within organizations

While both roles involve Salesforce, Salesforce Integration Mulesoft specializes in API-led integrations using Mulesoft tools, whereas Salesforce Developers focus on customizing and building applications within the Salesforce platform. Understanding these differences helps organizations assign the right expertise for their projects.

What are some common challenges faced when integrating Salesforce with MuleSoft, and how can they be addressed?

Integrating Salesforce with MuleSoft often involves challenges such as handling different data formats, managing API rate limits, and ensuring data consistency between systems. A common hurdle is mapping complex Salesforce data structures to other applications, which requires careful planning and thorough testing. To address these challenges, it's essential to leverage MuleSoft's pre-built connectors, implement robust error handling, and maintain clear documentation of integration flows. Collaborating closely with both Salesforce admins and backend developers also helps ensure a smooth integration process.
Infographic showing various Salesforce Integration Mulesoft job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $129,181 per year, or $62.1 per hour.
Senior Salesforce AI Developer

Senior Salesforce AI Developer

AIT Global, Inc.

San Francisco, CA

$147K - $180K/yr

Other

Posted 3 days ago


Job description

Job Title: Senior Salesforce AI Developer
Location: San Francisco, CA
The ideal candidate combines strong Salesforce development expertise with hands-on experience in Salesforce AI technologies, customer engagement processes, and enterprise integrations. This individual will work closely with business stakeholders, product teams, Salesforce administrators, and AI platform teams to deliver scalable and impactful AI solutions.
Salesforce AI Solution Development:
  • Design, develop, and implement AI-powered solutions using Salesforce AI capabilities.
  • Configure and customize Salesforce Einstein, Agentforce, Einstein Copilot, Data Cloud, Flow Automation, and MuleSoft.
  • Build AI-driven workflows to improve customer engagement, productivity, and operational efficiency.
  • Develop intelligent customer service, sales, and marketing experiences.
AI Use Cases & Business Enablement:
  • Partner with business stakeholders to identify and implement high-value AI use cases.
  • Improve customer experience, productivity, automation, and business insights.
  • Rapidly prototype and test AI-enabled Salesforce capabilities.
  • Salesforce Development & Configuration:
  • Develop custom Salesforce solutions using Apex, Lightning Web Components (LWC), Visualforce, Salesforce APIs, and Flow Builder.
  • Configure Sales Cloud, Service Cloud, Experience Cloud, and Marketing Cloud.
  • Build reusable components and automation frameworks.
Enterprise Integrations:
  • Integrate Salesforce with enterprise applications, APIs, ServiceNow, and external AI platforms.
  • Utilize MuleSoft and Salesforce integration technologies.
  • AI Governance & Compliance Support:
  • Follow responsible AI, security, privacy, and compliance guidelines.
  • Support governance controls for AI-generated content and automated processes.
Platform Support & Enablement:
  • Provide technical support for AI-enabled Salesforce solutions.
  • Create technical documentation and implementation guides.
  • Share Salesforce AI development best practices.
Required Qualifications:
  • 5+ years of Salesforce development and platform experience.
  • Expertise in Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, MuleSoft, and Salesforce Platform Development.
  • Hands-on experience with Salesforce Einstein, Agentforce, Einstein Copilot, and Data Cloud.
  • Strong experience with Apex, LWC, Flows, APIs, and integrations.
  • Understanding of Generative AI and AI-powered business workflows.
Preferred Qualifications:
  • Salesforce Platform Developer I/II Certification.
  • Salesforce AI Specialist Certification.
  • Experience integrating Salesforce with Vertex AI, OpenAI, or Azure OpenAI.
  • Familiarity with RAG, Conversational AI, AI Agents, and Prompt Engineering.