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Salesforce Integration Mulesoft Jobs (NOW HIRING)

Herc Rentals

Mulesoft Developer

Bonita Springs, FL · On-site

$47.25 - $62.75/hr

Build Mule flows and sub-flows in Anypoint Studio (Mule 4.x) integrating Salesforce, Oracle EBS ... MuleSoft Anypoint Platform (Mule 3.9 and Mule 4.x) • Hands-on with Anypoint Studio, Anypoint ...

Attain Partners

OR · On-site

$70.75 - $91.25/hr

Attain Partners is seeking a MuleSoft Lead & Integration Architect to drive the growth ... Higher Education and Salesforce Experience Additional Information Attain Partners values your ...

Notify AnyWhere

MuleSoft Architect - Hybrid

Atlanta, GA · On-site

Company Description We are seeking MuleSoft Architect with atleast 10 years of experience in system ... Experience with integration with Salesforce applications * Experience working in DevOps environment ...

ConglomerateIT

MuleSoft Architect

Dallas, TX

$70.25 - $90.75/hr

Proven expertise in Salesforce integrations * Hands-on experience with: * DataWeave * RAML * REST ... MuleSoft Certifications (Architect/Developer) * Strong leadership and stakeholder management skills

Notify AnyWhere

MuleSoft Architect - Hybrid

Atlanta, GA · Hybrid

Company Description We are seeking MuleSoft Architect with atleast 10 years of experience in system ... Experience with integration with Salesforce applications * Experience working in DevOps environment ...

ConglomerateIT LLC

MuleSoft Architect

Dallas, TX · On-site

$70 - $90.25/hr

Proven expertise in Salesforce integrations * Hands-on experience with: * DataWeave * RAML * REST ... MuleSoft Certifications (Architect/Developer) * Strong leadership and stakeholder management skills

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Salesforce Integration Mulesoft information

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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.

#119904 - Senior Salesforce / Agentforce AI Integration Architect

Lifted, an Upwork Company™

Texas City, TX • Remote

$59 - $73.25/hr

Contractor

Posted 17 days ago

Job description

Job Description

We are seeking a Senior Salesforce / Agentforce AI Integration Architect to support the design and scaling of enterprise automation and AI-enabled integration capabilities. This role will focus on connecting internal AI-driven systems, data platform services, and Salesforce Agentforce environments through secure, scalable, and well-governed architecture patterns.
The ideal candidate brings deep Salesforce integration and customization experience, strong enterprise systems architecture skills, and practical understanding of LLM-based workflows, agent orchestration, and AI platform integration.
Enterprise experience strongly preferred.
Key Responsibilities
- Architect end-to-end integration designs connecting internal AI systems, data services, and Salesforce Agentforce environments.
- Evaluate and recommend integration patterns across traditional APIs, Model Context Protocol, Agent-to-Agent approaches, and event-driven architectures.
- Design scalable, secure, and maintainable distributed systems that support autonomous workflows and enterprise automation.
- Define how autonomous systems interact safely and efficiently across cloud platforms, data services, and Salesforce environments.
- Wrap complex backend processes into agentic tools using Invocable Apex methods, advanced Salesforce Flows, and custom prompt templates.
- Design modular agent structures that avoid overloaded reasoning engines and support delegation across specialized autonomous agents.
- Establish API contracts, semantic endpoint definitions, trust filters, authentication boundaries, and data exposure guardrails.
- Collaborate with engineering, data, Salesforce administration, platform architecture, and security stakeholders.
- Author Architectural Decision Records that map high-level requirements to technical constraints, trade-offs, and design decisions.

Qualifications

Must-Have Skills
- Strong experience with enterprise integrations and system architecture.
- Deep experience integrating systems with Salesforce.
- Strong experience with Apex methods, advanced Salesforce Flows, and custom prompt templates.
- Experience designing and implementing APIs, including REST, gRPC, and event-driven architectures.
- Experience with Salesforce APIs, connectors, and integration patterns.
- Solid understanding of AI and LLM concepts, including prompt engineering, context management, context windows, and token conservation.
- Experience with multi-step AI workflows, agent orchestration, and autonomous routing concepts.
- Experience designing scalable and secure distributed systems.
- Understanding of security, authentication, data governance, trust boundaries, and data exposure controls.
- Experience documenting architecture decisions, technical constraints, and trade-offs.
- Strong collaboration skills across engineering, data, platform, Salesforce, and security teams.
Nice-to-Have Skills
- Experience with Model Context Protocol.
- Experience with Agent-to-Agent integrations.
- Experience with MuleSoft or middleware platforms.
- Experience building or managing autonomous AI agents or micro-agent systems.
- Familiarity with Salesforce Agentforce.
- Experience with semantic tool discovery or AI-native integrations.
- Knowledge of Salesforce Bulk APIs and Salesforce Connect.
- Experience working in large-scale enterprise AI environments.

Additional Information

Required Tools & Platforms
- Salesforce
- Salesforce Agentforce
- Invocable Apex
- Salesforce Flows
- Custom prompt templates
- Salesforce APIs and connectors
- REST APIs
- gRPC
- Event-driven architecture
- Salesforce Pub/Sub API
- LLM and agentic AI workflow concepts
- Architectural Decision Records
Location, Time & Engagement
- Remote contract role.
- Open to candidates in the United States, LATAM, EMEA, and APAC.
- Must be able to collaborate effectively with U.S.-based stakeholders and cross-functional teams.
- Full-time engagement, 40 hours per week.
- Expected engagement through March 31, 2027.

Apply