{"id":3723657,"url":"https://alion.io/job/caterpillar-ai-architect","title":"AI Architect","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":146,"ghost_share":0,"stale_share":0.103,"repost_share":0.021,"time_to_fill_p50_days":32,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Claude","optional":false},{"name":"Digital Twin","optional":false},{"name":"Edge AI","optional":false},{"name":"Embodied AI","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"Llama","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Path Planning","optional":false},{"name":"Physical AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-11-04T04:05:59Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T08:05:46Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen 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.\nPosition Summary\nWe 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.\nThis 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.\nThe 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.\nPosition Vision\nDrive the convergence of Physical AI, Autonomous Equipment, Digital Platforms, Digital Twins, and Agentic AI to create the intelligent mine of the future.\nThis role will serve as a key technical leader in shaping AI-enabled mining operations by integrating:\nAutonomous Haulage Systems (AHS)\nAI-Powered Mining Trucks\nFleet Intelligence\nSite Orchestration\nDigital Twins\nKnowledge Graphs\nEnterprise AI Assistants\nMulti-Agent Systems\nMining Operational Intelligence\nKey Responsibilities\n1. AI Strategy & Solution Architecture\nDefine enterprise AI architecture strategy and technical roadmap.\nDevelop architecture standards, reference designs, and reusable frameworks.\nTranslate mining business challenges into scalable AI-enabled solutions.\nLead solution design reviews and technical governance activities.\nEvaluate emerging AI technologies and identify strategic adoption opportunities.\n2. Autonomous Mining & AI Truck Intelligence\nLead architecture for next-generation intelligent mining equipment and fleet operations.\nDesign AI solutions supporting:\nAutonomous Haulage Systems (AHS)\nAI-Powered Haul Trucks\nFleet Management Systems\nRoute Optimization\nMission Planning\nTraffic Management\nProductivity Optimization\nSite Orchestration\nMine Operations Intelligence\nKey Responsibilities\nDefine AI-enabled vehicle intelligence architecture.\nSupport development of AI-assisted autonomous decision-making capabilities.\nArchitect systems enabling:Context-aware operations\nMission understanding\nAdaptive decision making\nFleet collaboration\nOperational optimization\nHuman-AI interaction\n\nWork closely with autonomy, controls, perception, and vehicle platform teams.\n3. Physical AI & Autonomous Systems\nLead the development of Physical AI architectures for autonomous mining environments.\nKey Responsibilities\nDefine architecture strategies for Physical AI systems operating in large-scale mines.\nEnable intelligent interaction between:Autonomous trucks\nMine infrastructure\nDigital platforms\nHuman operators\nAI agents\n\nDevelop architectures supporting:Real-time perception\nWorld understanding\nReasoning\nPlanning\nAction execution\n\nEstablish frameworks for closed-loop learning and operational adaptation.\nEmbodied AI\nDesign intelligence systems based on embodied AI principles.\nEnable autonomous equipment to:Understand complex mine environments\nLearn from operational data\nAdapt to changing conditions\nCoordinate with other autonomous assets\n\n4. Generative AI & Agentic Systems\nDefine next-generation AI Assistant and Agent-based architectures.\nDesign solutions supporting:\nMine Supervisors\nDispatch Operators\nFleet Managers\nMaintenance Teams\nSite Managers\nProduction Planning Teams\nTechnology Areas\nLarge Language Models (LLMs)\nAgentic AI\nMulti-Agent Systems\nAI Copilots\nRetrieval Augmented Generation (RAG)\nEnterprise Search\nAutonomous Decision Support\nResponsibilities\nArchitect AI Assistant capabilities across mining operations.\nDefine AI workflows that transform operational data into actionable insights.\nEnable AI-driven decision support and workflow automation.\n5. Digital Platform Architecture\nDefine AI integration strategies across enterprise mining platforms.\nResponsibilities\nEstablish architecture for:Atlas Platform\nMineStar Ecosystem\nConnected Equipment Platforms\nOperational Data Platforms\nCloud Infrastructure\n\nDefine interoperability standards across global systems.\nBuild scalable AI infrastructure supporting enterprise deployment.\nEnsure platform reliability, security, and maintainability.\n6. Digital Twin & Knowledge Intelligence\nLead design of enterprise knowledge and operational intelligence systems.\nResponsibilities\nArchitect solutions supporting:Digital Twins\nKnowledge Graphs\nSemantic Search\nOperational Intelligence\nEnterprise Knowledge Management\n\nDefine ontology and domain modeling approaches.\nEnable capture and reuse of operational expertise and tribal knowledge.\nCreate intelligence layers supporting contextual AI reasoning.\n7. Data Architecture & Governance\nResponsibilities\nDefine enterprise AI data strategy.\nEstablish standards for:Data Quality\nData Governance\nMetadata Management\nAI Data Pipelines\n\nDesign architectures supporting:Real-time analytics\nEdge-to-cloud integration\nAI model lifecycle management\n\nEnsure scalability and future extensibility.\n8. AI Governance & Responsible AI\nResponsibilities\nLead Responsible AI adoption and governance.\nDefine AI lifecycle management processes.\nEstablish monitoring and validation frameworks.\nEnsure compliance with:Data Privacy Requirements\nCybersecurity Standards\nIndustry Regulations\nCorporate Governance Policies\n\nDevelop AI risk management strategies.\n9. Technical Leadership\nResponsibilities\nServe as technical leader across AI, autonomy, and digital platform initiatives.\nMentor engineers, architects, and technical leads.\nLead architecture reviews and strategic technology evaluations.\nSupport executive decision-making and customer engagements.\nInfluence long-term product and platform strategy.\nRequired Qualifications\nEducation\nMinimum Requirements\nMaster's Degree in:\nArtificial Intelligence\nComputer Science\nRobotics\nAutonomous Systems\nElectrical Engineering\nData Science\nSystems Engineering\nMining Engineering\nRelated Technical Discipline\nPreferred\nPh.D. in:\nArtificial Intelligence\nRobotics\nMachine Learning\nAutonomous Systems\nComputer Science\nElectrical Engineering\nMining Engineering\nRelated Technical Field\nProfessional Experience\nRequired\n10+ years of experience in software engineering, systems engineering, autonomy, robotics, or platform architecture.\n5+ years of experience designing and deploying AI solutions in production environments.\nProven experience delivering large-scale enterprise or industrial AI platforms.\nDemonstrated leadership in cross-functional technology initiatives.\nPreferred Industry Experience\nAutonomous Mining\nAutonomous Trucks\nHeavy Equipment\nMining Technology\nConstruction Technology\nIndustrial Automation\nRobotics\nIntelligent Transportation Systems\nTechnical Competencies\nArtificial Intelligence\nGenerative AI\nLarge Language Models (GPT, Claude, Gemini, Llama)\nAgentic AI\nMulti-Agent Systems\nMachine Learning\nDeep Learning\nReinforcement Learning\nPrompt Engineering\nRAG Architectures\nPhysical AI & Autonomous Intelligence\nPhysical AI\nEmbodied AI\nWorld Models\nAutonomous Decision Making\nBehavioral AI Systems\nHuman-AI Collaboration\nRobotics Foundation Models\nEdge AI\nAutonomous Vehicle Technologies\nAutonomous Truck Systems\nPerception Systems\nLocalization & Mapping\nSensor Fusion\nPath Planning\nControls Architecture\nVehicle Intelligence\nFunctional Safety\nDigital Platforms & Cloud Technologies\nAzure AI Services\nAzure OpenAI\nAWS\nKubernetes\nMicroservices Architecture\nDistributed Computing Platforms\nEvent-Driven Systems\nREST APIs\nData & Knowledge Systems\nKnowledge Graphs\nOntology Engineering\nVector Databases\nSemantic Search\nDigital Twin Architecture\nData Governance\nEnterprise Knowledge Systems\nProgramming\nPython\nC++\nC#\nJava\nPreferred Qualifications\nExperience with MineStar or equivalent fleet management platforms.\nExperience developing AI-enabled equipment solutions.\nExperience architecting AI assistants in industrial environments.\nExperience deploying AI to edge devices or autonomous platforms.\nExpertise in digital twin architecture and operational simulation.\nExperience with Agentic AI frameworks.\nResearch & Innovation\nPreferred candidates may possess:\nPublications in AI, Robotics, Autonomous Systems, Physical AI, or Mining Technologies.\nPatents related to AI, autonomy, robotics, or intelligent industrial systems.\nContributions to leading-edge AI research or technology commercialization.\nLeadership Competencies\nStrategic Thinking\nSystems Thinking\nInnovation Leadership\nTechnical Excellence\nCross-Functional Collaboration\nExecutive Communication\nCustomer Focus\nProblem Solving\nInfluencing Without Authority\nBusiness Acumen\nSuccess Metrics\nThe successful candidate will:\nDefine the AI architecture roadmap for autonomous mining and digital platforms\nDeliver next-generation AI Truck and Fleet Intelligence capabilities\nEnable enterprise-scale AI Assistants and Agentic AI solutions\nEstablish foundational Digital Twin and Knowledge Intelligence architectures\nAccelerate customer adoption of AI-enabled mining technologies\nDrive integration of Physical AI, Autonomous Equipment, and Digital Platforms into commercially deployable solutions\nHelp build the intelligent mine of the future\nPosting Dates:\nNovember 4, 2026 - December 3, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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