Senior Software Engineer, AI & Salesforce

Caterpillar Inc.•Peoria, IL

11d•$112,710 - $183,140•Onsite

About The Position

As a Senior 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.

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, Information Systems, or a closely related technical field, or equivalent working experience.
5+ years or more of software development experience and solid working knowledge of OOP principles.
3+ years or more of experience in designing and developing software applications in Python.
Experience working with Git version control on medium to large teams.
Exceptional communication skills with experience working on a cross functional team.
Deploying software using CI/CD tools such as Jenkins, Github Actions, Azure Devops etc.
Experience with AWS components such as Lambda, Event Bridge, CloudWatch, CloudFormation, Dynamo, S3, IAM and RDS.
Hands‑on experience with GenAI developer tools: Practical usage of tools such as Github Copilot, Claude code, or similar AI coding assistants to improve developer productivity, code quality, and delivery speed.
Experience designing, developing, or integrating Generative AI solutions using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
Ability to learn and adapt in a rapidly evolving space: Demonstrates curiosity and continuous learning as GenAI tools, frameworks, and best practices evolve quickly.
Applied knowledge of GenAI tools in real use cases: Proven experience applying GenAI to solve real business or engineering problems (e.g., data processing, automation, assistants, recommendations, or decision support).
Knowledge of Salesforce Marketing Cloud & Salesforce Sales Cloud.
Knowledge of Apex, Lightning Web Components, Salesforce Flow, Salesforce Data Modeling, AMP scripting.
Knowledge of Salesforce AI technologies, including Einstein AI, Agentforce, Prompt Builder, and Data Cloud.
Knowledge on integrating Salesforce with enterprise applications, APIs, middleware, identity providers, and external systems.
Understanding Salesforce governance, platform limits, release management, and scalable solution design.

Responsibilities

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 OmniStudio, 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 GitHub 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 define and deliver innovative AI-driven solutions that enhance customer experiences, employee productivity, and enterprise capabilities.