Senior Software Engineer, AI & Salesforce

Job Description Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Technology, Digital and Data

As a Senior Software Engineer on the Salesforce AI & Engineering team, you will be responsible for designing, developing, implementing, testing, and maintaining Salesforce and AI-powered solutions that support Caterpillar's digital platforms, customer experiences, dealer ecosystems, and enterprise business processes. You will lead the adoption and integration of Salesforce AI technologies, including Agentforce, Einstein AI, Generative AI capabilities, intelligent automation, and enterprise AI solutions to drive innovation, operational efficiency, and business value.

This position requires knowledge of Salesforce platform technologies, Agentforce, Einstein AI, cloud-based application development, integrations, APIs, automation frameworks, data modeling, security, Large Language Models (LLMs), AI-assisted development practices, and enterprise software engineering principles to deliver scalable, secure, and intelligent solutions aligned with business and customer requirements.

This position qualifies as a specialty occupation because it requires at minimum a Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, or a closely related technical field, or equivalent working experience.

• Design, develop, implement, test, and maintain Salesforce solutions using Agile/Scrum methodologies.
• Design, develop, implement, test, deploy, and maintain scalable Salesforce and AI-powered solutions using Agile/Scrum methodologies and modern software engineering practices.
• Configure, and customize solutions across Salesforce platforms, including Sales Cloud, Marketing Cloud, Experience Cloud, Data Cloud, Agentforce, and other enterprise capabilities.
• Develop enterprise-grade applications and integrations using Apex, Lightning Web Components (LWC), Visualforce, JavaScript, SOQL/SOSL, Salesforce APIs, and cloud-native development patterns.
• Design and implement declarative solutions leveraging Omni Studio, Flows, validation rules, custom objects, approval processes, record-triggered automation to deliver scalable business capabilities.
• Develop and support integrations between Salesforce and enterprise systems using REST, SOAP, Platform Events, middleware platforms, event-driven architectures, and modern integration frameworks.
• Leverage AI-assisted development tools such as Git Hub Copilot, Claude Code, and similar technologies to improve developer productivity, code quality, testing efficiency, and delivery speed.
• Design, build, and integrate AI-powered capabilities including Agentforce agents, Einstein AI solutions, intelligent assistants, conversational experiences, predictive insights, and workflow automation across the Salesforce ecosystem.
• Apply Generative AI, Agentic AI technologies to solve complex business and engineering challenges, including process automation, recommendations, knowledge retrieval, decision support, customer engagement, and operational optimization.
• Evaluate, prototype, and implement emerging AI technologies, frameworks, and best practices to improve engineering efficiency, solution quality, and business outcomes.
• Champion AI-enabled software engineering practices by establishing reusable frameworks, governance standards, development patterns, and responsible AI principles that improve scalability, security, maintainability, and operational excellence.
• Provide technical leadership and mentorship for engineering teams on Salesforce architecture, Agentforce, Einstein AI, AI-assisted development, and modern software delivery practices.
• Collaborate with business, product, architecture, data, and platform teams to…