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AI Architect at Caterpillar, Shanghai

AI Architect at Caterpillar in Shanghai. Full-time. Apply with swipeandhired.

Career Area:
Technology, Digital and Data
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.

Position Summary
We are seeking a visionary and technically accomplished AI Solution Architect to lead the architecture, design, and deployment of next-generation AI-powered solutions for autonomous mining operations and digital platform ecosystems.
This role will define the technology roadmap and architecture strategy for the convergence of Artificial Intelligence, Physical AI, Autonomous Equipment, Digital Twins, Enterprise Knowledge Platforms, and Agentic AI Systems . The successful candidate will bridge mining operations, autonomy engineering, software platforms, data architecture, and AI innovation to create intelligent, scalable, and commercially deployable solutions.
The ideal candidate possesses deep expertise in AI technologies, autonomous vehicle systems, industrial digital platforms, and large-scale enterprise architectures, with a passion for transforming the future of mining through intelligent systems.

Position Vision
Drive the convergence of Physical AI, Autonomous Equipment, Digital Platforms, Digital Twins, and Agentic AI to create the intelligent mine of the future.
This role will serve as a key technical leader in shaping AI-enabled mining operations by integrating:

Autonomous Haulage Systems (AHS)
AI-Powered Mining Trucks
Fleet Intelligence
Site Orchestration
Digital Twins
Knowledge Graphs
Enterprise AI Assistants
Multi-Agent Systems
Mining Operational Intelligence

Key Responsibilities

AI Strategy & Solution Architecture

Define enterprise AI architecture strategy and technical roadmap.
Develop architecture standards, reference designs, and reusable frameworks.
Translate mining business challenges into scalable AI-enabled solutions.
Lead solution design reviews and technical governance activities.
Evaluate emerging AI technologies and identify strategic adoption opportunities.

Autonomous Mining & AI Truck Intelligence

Lead architecture for next-generation intelligent mining equipment and fleet operations.
Design AI solutions supporting:

Autonomous Haulage Systems (AHS)
AI-Powered Haul Trucks
Fleet Management Systems
Route Optimization
Mission Planning
Traffic Management
Productivity Optimization
Site Orchestration
Mine Operations Intelligence

Key Responsibilities

Define AI-enabled vehicle intelligence architecture.
Support development of AI-assisted autonomous decision-making capabilities.
Architect systems enabling:
Context-aware operations
Mission understanding
Adaptive decision making
Fleet collaboration
Operational optimization
Human-AI interaction

Work closely with autonomy, controls, perception, and vehicle platform teams.

Physical AI & Autonomous Systems

Lead the development of Physical AI architectures for autonomous mining environments.
Key Responsibilities

Define architecture strategies for Physical AI systems operating in large-scale mines.
Enable intelligent interaction between:
Autonomous trucks
Mine infrastructure
Digital platforms
Human operators
AI agents

Develop architectures supporting:
Real-time perception
World understanding
Reasoning
Planning
Action execution

Establish frameworks for closed-loop learning and operational adaptation.

Embodied AI

Design intelligence systems based on embodied AI principles.
Enable autonomous equipment to:
Understand complex mine environments
Learn from operational data
Adapt to changing conditions
Coordinate with other autonomous assets

Generative AI & Agentic Systems

Define next-generation AI Assistant and Agent-based architectures.
Design solutions supporting:

Mine Supervisors
Dispatch Operators
Fleet Managers
Maintenance Teams
Site Managers
Production Planning Teams

Technology Areas

Large Language Models (LLMs)
Agentic AI
Multi-Agent Systems
AI Copilots
Retrieval Augmented Generation (RAG)
Enterprise Search
Autonomous Decision Support

Responsibilities

Architect AI Assistant capabilities across mining operations.
Define AI workflows that transform operational data into actionable insights.
Enable AI-driven decision support and workflow automation.

Digital Platform Architecture

Define AI integration strategies across enterprise mining platforms.
Responsibilities

Establish architecture for:
Atlas Platform
MineStar Ecosystem
Connected Equipment Platforms
Operational Data Platforms
Cloud Infrastructure

Define interoperability standards across global systems.
Build scalable AI infrastructure supporting enterprise deployment.
Ensure platform reliability, security, and maintainability.

Digital Twin & Knowledge Intelligence

Lead design of enterprise knowledge and operational intelligence systems.
Responsibilities

Architect solutions supporting:
Digital Twins
Knowledge Graphs
Semantic Search
Operational Intelligence
Enterprise Knowledge Management

Define ontology and domain modeling approaches.
Enable capture and reuse of operational expertise and tribal knowledge.
Create intelligence layers supporting contextual AI reasoning.

Data Architecture & Governance

Responsibilities

Define enterprise AI data strategy.
Establish standards for:
Data Quality
Data Governance
Metadata Management
AI Data Pipelines

Design architectures supporting:
Real-time analytics
Edge-to-cloud integration
AI model lifecycle management

Ensure scalability and future extensibility.

AI Governance & Responsible AI

Responsibilities

Lead Responsible AI adoption and governance.
Define AI lifecycle management processes.
Establish monitoring and validation frameworks.
Ensure compliance with:
Data Privacy Requirements
Cybersecurity Standards
Industry Regulations
Corporate Governance Policies

Develop AI risk management strategies.

Technical Leadership

Responsibilities

Serve as technical leader across AI, autonomy, and digital platform initiatives.
Mentor engineers, architects, and technical leads.
Lead architecture reviews and strategic technology evaluations.
Support executive decision-making and customer engagements.
Influence long-term product and platform strategy.

Required Qualifications
Education
Minimum Requirements
Master's Degree in:

Artificial Intelligence
Computer Science
Robotics
Autonomous Systems
Electrical Engineering
Data Science
Systems Engineering
Mining Engineering
Related Technical Discipline

Preferred
Ph.D. in:

Artificial Intelligence
Robotics
Machine Learning
Autonomous Systems
Computer Science
Electrical Engineering
Mining Engineering
Related Technical Field

Professional Experience
Required

10+ years of experience in software engineering, systems engineering, autonomy, robotics, or platform architecture.
5+ years of experience designing and deploying AI solutions in production environments.
Proven experience delivering large-scale enterprise or industrial AI platforms.
Demonstrated leadership in cross-functional technology initiatives.

Preferred Industry Experience

Autonomous Mining
Autonomous Trucks
Heavy Equipment
Mining Technology
Construction Technology
Industrial Automation
Robotics
Intelligent Transportation Systems

Technical Competencies
Artificial Intelligence

Generative AI
Large Language Models (GPT, Claude, Gemini, Llama)
Agentic AI
Multi-Agent Systems
Machine Learning
Deep Learning
Reinforcement Learning
Prompt Engineering
RAG Architectures

Physical AI & Autonomous Intelligence

Physical AI
Embodied AI
World Models
Autonomous Decision Making
Behavioral AI Systems
Human-AI Collaboration
Robotics Foundation Models
Edge AI

Autonomous Vehicle Technologies

Autonomous Truck Systems
Perception Systems
Localization & Mapping
Sensor Fusion
Path Planning
Controls Architecture
Vehicle Intelligence
Functional Safety

Digital Platforms & Cloud Technologies

Azure AI Services
Azure OpenAI
AWS
Kubernetes
Microservices Architecture
Distributed Computing Platforms
Event-Driven Systems
REST APIs

Data & Knowledge Systems

Knowledge Graphs
Ontology Engineering
Vector Databases
Semantic Search
Digital Twin Architecture
Data Governance
Enterprise Knowledge Systems

Programming

Python
C++
C#
Java

Preferred Qualifications

Experience with MineStar or equivalent fleet management platforms.
Experience developing AI-enabled equipment solutions.
Experience architecting AI assistants in industrial environments.
Experience deploying AI to edge devices or autonomous platforms.
Expertise in digital twin architecture and operational simulation.
Experience with Agentic AI frameworks.

Research & Innovation
Preferred candidates may possess:

Publications in AI, Robotics, Autonomous Systems, Physical AI, or Mining Technologies.
Patents related to AI, autonomy, robotics, or intelligent industrial systems.
Contributions to leading-edge AI research or technology commercialization.

Leadership Competencies

Strategic Thinking
Systems Thinking
Innovation Leadership
Technical Excellence
Cross-Functional Collaboration
Executive Communication
Customer Focus
Problem Solving
Influencing Without Authority
Business Acumen

Success Metrics
The successful candidate will:
✅ Define the AI architecture roadmap for autonomous mining and digital platforms
✅ Deliver next-generation AI Truck and Fleet Intelligence capabilities
✅ Enable enterprise-scale AI Assistants and Agentic AI solutions
✅ Establish foundational Digital Twin and Knowledge Intelligence architectures
✅ Accelerate customer adoption of AI-enabled mining technologies
✅ Drive integration of Physical AI, Autonomous Equipment, and Digital Platforms into commercially deployable solutions
✅ Help build the intelligent mine of the future

Posting Dates:
November 4, 2026 - December 3, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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