| Location | Irving, TX |
| Industry | Manufacturing |
| Salary | $147,760–$221,640 Per Year |
| Company Size | 10,000 employees or more |
| Year Founded | 1925 |
| Website | http://www.cat.com/ |
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.
What You Will Do:
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 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.
Effective Communications
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.
Technical Excellence
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.
Customer and Market Focus
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.
Managing People
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.
Collaborating Globally
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.
Project and Program Management
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.
Artificial Intelligence and Digital Solutions Leadership
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.
Education Requirements: Bachelor's degree in Computer Science, Engineering, Systems Engineering, Data Science or related field
Consideration for Top Candidates:
Additional Information:
Summary Pay Range:
$147,760.00 - $221,640.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
August 11, 2026 - August 19, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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