Engineering Manager – Caterpillar AI Assistant Integration

Caterpillar Inc.•Mossville, IL

1d•$147,760 - $221,640•Onsite

About The Position

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.

Requirements

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.
Evaluates technical, business, operational, and customer considerations when making decisions.
Assesses AI technology alternatives and architectural approaches based on scalability, quality, risk, and business value.
Uses data-driven methodologies to evaluate outcomes and improve future decisions.
Leads teams through ambiguity while maintaining execution focus and accountability.
Advises stakeholders on tradeoffs between customer needs, technical feasibility, schedule, and investment.
Promotes evidence-based decision-making and challenges assumptions constructively.
Communicates technical concepts effectively to engineering, business, and executive audiences.
Influences stakeholders through clarity, credibility, expertise, and data-supported recommendations.
Develops executive-level presentations, business cases, and strategic recommendations.
Maintains open communication across global teams and organizational boundaries.
Provides coaching and feedback to develop communication effectiveness within the team.
Effectively manages difficult discussions involving priorities, risk, technology strategy, and resource allocation.
Provides leadership for development of scalable AI, software, cloud, and edge computing solutions.
Guides teams in solving complex technical and architectural challenges.
Establishes engineering best practices for software quality, reliability, security, and maintainability.
Actively evaluates emerging AI technologies and recommends adoption strategies.
Mentors senior engineers and technical leaders in architecture, software engineering, and AI development disciplines.
Maintains accountability for technical excellence across all AI Assistant deliverables.
Maintains awareness of customer needs, market trends, competitor offerings, and AI technology developments.
Identifies opportunities to increase customer value through AI-driven capabilities and experiences.
Ensures engineering priorities remain aligned with customer outcomes and business objectives.
Partners directly with customers, dealers, and business stakeholders to validate requirements and product direction.
Balances innovation with practical deployment considerations and operational realities.
Builds and develops high-performing engineering teams.
Creates an environment that promotes innovation, inclusion, accountability, and continuous learning.
Establishes clear goals and performance expectations.
Provides ongoing coaching, mentoring, and career development opportunities.
Effectively manages organizational change and conflict resolution.
Develops future technical and leadership talent through succession planning and capability development.
Leads collaboration across global engineering, product, business, and customer organizations.
Builds strong partnerships across Digital, Technology, Business Segments, and external suppliers.
Leverages diverse perspectives and expertise to improve business outcomes.
Establishes networks that accelerate technical innovation and organizational effectiveness.
Drives alignment across geographically distributed teams.
Leads complex, multi-year AI platform and product development initiatives.
Establishes governance, prioritization, execution metrics, and delivery frameworks.
Identifies program risks and develops mitigation strategies.
Ensures transparency through regular reviews with executive leadership and stakeholders.
Balances scope, quality, schedule, budget, and technical objectives.
Drives successful delivery of strategic AI initiatives from concept through production deployment.
Leads development and deployment of Generative AI and Agentic AI solutions delivering measurable customer value.
Establishes AI platform architecture supporting scalable deployment across machines, mobile devices, enterprise systems, and cloud environments.
Guides model selection, validation, performance monitoring, and lifecycle management activities.
Ensures compliance with Responsible AI, cybersecurity, privacy, and regulatory requirements.
Drives adoption of AI capabilities through strong alignment between engineering, product, and customer needs.
Develops organizational capability and technical expertise in advanced AI technologies and practices.
Bachelor’s degree in Computer Science, Engineering, Systems Engineering, Data Science or related field

Nice To Haves

Experience leading software engineering organizations delivering AI-enabled products or platforms.
Knowledge of Generative AI, Agentic AI, Foundation Models, LLMs, RAG architectures, and AI orchestration frameworks.
Experience with cloud-native platforms (AWS, Azure, GCP) and edge computing environments.
Experience deploying AI solutions in industrial, manufacturing, mining, construction, autonomy, or connected machine environments.
Strong understanding of modern software architecture including APIs, microservices, distributed systems, and data platforms.
Experience with AI governance, responsible AI practices, cybersecurity, privacy, and model lifecycle management.
Demonstrated ability to lead geographically distributed engineering teams.
Proven success managing large-scale technology programs from concept through deployment and support.

Responsibilities

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.