{"id":1168030,"url":"https://alion.io/job/caterpillar-principal-ai-engineer","title":"Principal AI Engineer","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":86,"open_postings":39,"ghost_share":0,"stale_share":0.769,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":67000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Digital Twin","optional":false},{"name":"JAX","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Knowledge Graph","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-24T04:59:10Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-20T10:32:43Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"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.\nCaterpillar IT is at the forefront of enabling Caterpillar’s digital transformation, delivering technology solutions that support our global business, manufacturing operations, products, and customers. We leverage data, cloud technologies, advanced analytics, AI, and modern software engineering to build secure, scalable, and innovative solutions that improve operational efficiency and help Caterpillar build a better, more sustainable world.\nBuild the Digital Backbone of Modern Manufacturing\nWe’re assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform-a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize.\nThis platform is not an ERP system. It’s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle-from design and engineering to production and distribution.\nThis initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You’ll be part of a team that’s not just building software-but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.\nAs part of this initiative, you’ll contribute to:\nSystem Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.\nData-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.\nAutomation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control-without replacing core transactional systems.\nEnhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.\nIf you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies-this is your opportunity to make a meaningful impact.\nKey Responsibilities:\nLead and deliver implementation strategies for State of the Art (Gen)AI-based Applications in manufacturing domain.\nDesign and implement a Knowledge Transfer strategy to scale the own experience via a Growing and Ambitious AI Team.\nDrive technical innovation through boundary-pushing experimentation, while maintaining alignment with customer commitments and delivery expectations.\nCollaborate with product, engineering, and operations teams to design and integrate AI features into digital products.\nRequired Skills:\nDemonstrated experience building production-grade AI services, including considerations for scalability, availability, security, resiliency, performance, logging, monitoring, and cost optimization.\nExperience with multimodal AI/RAG solutions involving combinations of text, tables, images, technical documents, diagrams, or other enterprise/manufacturing data.\nApplication of GenAI for generative design, simulation, predictive modeling, demand forecasting, or process optimization in industrial environments. Experience with frameworks like Langchain, Langgraph or industry GenAI stacks.\nMastery of supervised, unsupervised, and reinforcement learning algorithms as applied to manufacturing (predictive maintenance, defect detection, process automation).\nStrong software engineering skills in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn, JAX).\nExperience deploying production AI solutions (MLOps) with robust data pipelines, monitoring, retraining, and scalability in real factory settings.\nNice to Have Skills:\nPrior experience in technical training, mentorship, or consulting role, preferably within a corporate or academic setting.\nDemonstratable experience with manufacturing data, industrial protocols, plant systems, and translating business goals into machine learning projects.\nArchitected or deployed digital twin solutions for virtual representation of physical assets/processes.\nExperience working with knowledge graphs, graph databases, vector databases, manufacturing ontologies, and semantic models to improve contextual retrieval and reasoning.\nExperience optimizing AI applications for latency, throughput, token consumption, infrastructure utilization, and overall operating cost.\nKnowledge of integrating real-time manufacturing data (IoT, PLC, MES/ERP connectivity) to digital twins for simulation and predictive analytics.\nEducational Background: Typically requires a Bachelor’s degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 10-16 years of professional experience in associated field is required, a Master’s degree and 8-10 years of experience, or a PhD and 5-7 years of experience in relevant field.\nPosting Dates:\nSeptember 24, 2026 - October 1, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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