Engineering Manager – Caterpillar AI Assistant Integration

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. Engineering Manager – Caterpillar AI Assistant Integration Leads the engineering organization responsible for the design, development, integration, validation, deployment, and continuous improvement of the Caterpillar AI Assistant ecosystem as it transitions into our Products. This position provides technical and people leadership across AI platform development, agentic AI capabilities, large language model integration, cloud and edge computing solutions, user experience, data pipelines, and machine connectivity solutions. The Engineering Manager is accountable for establishing technical direction, developing engineering talent, managing execution of strategic initiatives, and ensuring the successful delivery of scalable, secure, reliable, and customer-focused AI solutions that create measurable business value across Caterpillar products and services.

Lead a global, cross-functional team of software and systems engineers responsible for the Caterpillar AI Assistant. Manage staffing, performance management, succession planning, employee development, and organizational growth initiatives. Establish and communicate technical vision, architecture strategy, and product roadmaps supporting both near-term customer commitments and long-term platform evolution. Provide leadership for AI Assistant delivery across machine platforms.   Ensure alignment between engineering execution, product strategy, customer requirements, quality objectives, cybersecurity requirements, and business goals. Lead resolution of complex technical, operational, and organizational challenges through effective collaboration and informed decision-making. Partner with Digital, Technology, Product Management, UX, Cybersecurity, Legal, and Business stakeholders to define priorities and execute strategic programs. Drive engineering excellence through adoption of modern software development practices, AI governance principles, DevOps methodologies, test automation, system validation, and continuous integration/continuous deployment (CI/CD). Manage budgets, resource planning, vendor relationships, and project execution to deliver outcomes on time and within budget. Evaluate emerging AI technologies, foundation models, agent frameworks, and industry trends to identify opportunities for innovation and competitive differentiation. Serve as a trusted technical advisor to senior leadership, customers, dealers, and strategic partners regarding AI Assistant strategy and implementation. Promote a culture of safety, accountability, innovation, inclusion, and continuous improvement. What You Have: Planning: Tactical, Strategic Develops and communicates tactical and strategic plans supporting AI Assistant product and technology roadmaps. Aligns engineering priorities with enterprise AI strategy and business objectives. Balances innovation investments with delivery commitments and operational constraints. Plans resource allocation across multiple engineering teams, suppliers, and strategic initiatives. Identifies dependencies and risk areas that may impact delivery, scalability, or adoption. Ensures engineering planning is integrated with overall product and business planning processes. Decision Making and Critical Thinking Evaluates technical, business, operational, and customer considerations when making decisions. Assesses AI technology alternatives and architectural approaches based on scalability, quality, risk, and business