Senior Java Developer - Agentic AI Squad Lead

Career Area: Engineering 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. Caterpillar products generate and process large volumes of data from sensors, on-board models and control algorithms in real time, creating real-world machine usage information. As part of the overall digital strategy, Caterpillar has developed an integrated family of machine-based information technology products that interconnect machines to provide real-time guidance, tracking, monitoring and supervisory control of mining fleets. This family of products is branded MineStar and connects with other mining and business information systems as an integral part of the Mining Technology Enabled Solutions vision. We are seeking a skilled and experienced Java Developer to join a multidisciplinary delivery team building world-class mining software. In addition to hands-on Java development, this role serves as a custom agent squad lead, directing AI-enabled delivery workflows as a first-class part of the software development lifecycle. The role remains accountable for technical outcomes, quality, security and maintainability while using the squad and related AI engineering tools to improve delivery speed, consistency and engineering effectiveness.

Design, build and maintain Java-based applications, microservices and APIs that support the Caterpillar MineStar ecosystem. Produce clean, well-tested and maintainable code aligned with agreed engineering standards, with quality, security, resilience, automated testing, peer review and documentation built in. Lead delivery of features and technical initiatives using AI tooling and agentic workflows, translating delivery requirements into structured work that can be executed and validated across multiple AI agents. Treat AI agents as integrated members of the delivery team while retaining clear human accountability for technical decisions, delivered outcomes and production readiness. Orchestrate agentic AI capabilities across requirements decomposition, solution design, implementation, test generation, documentation, code review, defect triage, root-cause analysis and production support. Validate all AI-generated outputs against requirements, MineStar domain realities, architecture standards, secure coding practices and quality expectations before they are accepted or released. Work with the scrum team to deliver features end-to-end, from refinement and estimation through implementation, testing, release and operational support. Contribute to solution architecture and technical decision-making for complex problems, creating clear design artefacts and architecture decisions that support delivery and ongoing support. Establish and apply quality gates for AI-assisted development, identify failure modes, and ensure the use of AI remains responsible, traceable and compliant with engineering governance. Participate in code and design reviews, promoting engineering standards and continuous improvement in quality, performance, security and reliability. Take ownership of assigned technical outcomes, communicating progress, risks and dependencies and helping the team deliver predictably. Partner with Product, Engineering and Quality Engineering to clarify requirements, align acceptance criteria and incorporate feedback. Support production operations by monitoring services, troubleshooting incidents, performing root-cause analysis and implementing sustainable fixes. Create reusable agentic AI patterns, prompts, skills, templates and playbooks that can be