Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden это старшая архитектурная роль, связанная с реальными продуктами для автономной добычи, но охватывает сразу несколько крупных AI- и промышленных направлений, а границы ответственности и структура команды почти не раскрыты.
Слишком широкий охват
Современные технологии
AI в реальных системах
Крупный производитель
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Architect (Autonomous Mining) (AI/autonomous mining): Define and deploy enterprise AI architectures for autonomous mining operations, digital platforms, digital twins, and agentic systems with an accent on physical AI, autonomous equipment, and operational intelligence. Focus on designing closed-loop autonomous decision-making, integrating fleet and mine platforms, and building scalable AI assistants, knowledge systems, and data architectures.
Location: Shanghai, China
Company
hirify.global develops heavy equipment, industrial technology, and digital solutions for mining and autonomous operations.
What you will do
Define enterprise AI architecture strategy, technical roadmaps, reference designs, reusable frameworks, and governance standards.
Architect AI-enabled autonomous haulage, mining trucks, fleet intelligence, route optimization, mission planning, traffic management, and site orchestration.
Design Physical AI and embodied AI systems for perception, world understanding, reasoning, planning, action execution, closed-loop learning, and human-AI interaction.
Lead architectures for generative AI assistants, LLMs, RAG, multi-agent systems, enterprise search, and operational decision support.
Integrate AI across Atlas, MineStar, connected equipment, operational data platforms, cloud infrastructure, digital twins, knowledge graphs, and semantic search.
Lead data governance, responsible AI, lifecycle management, monitoring, validation, cybersecurity, privacy, and regulatory compliance while mentoring technical teams and supporting executive decisions.
Requirements
Master's degree in artificial intelligence, computer science, robotics, autonomous systems, electrical engineering, data science, systems engineering, mining engineering, or a related technical discipline.
10+ years of experience in software engineering, systems engineering, autonomy, robotics, or platform architecture, including 5+ years designing and deploying AI solutions in production.
Experience delivering large-scale enterprise or industrial AI platforms and leading cross-functional technology initiatives.
Expertise in generative AI, LLMs, agentic AI, multi-agent systems, machine learning, deep learning, reinforcement learning, prompt engineering, and RAG architectures.
Knowledge of Physical AI, embodied AI, world models, autonomous decision-making, behavioral AI, human-AI collaboration, robotics foundation models, and edge AI.
Experience with autonomous vehicle technologies including perception, localization and mapping, sensor fusion, path planning, controls architecture, vehicle intelligence, and functional safety.
Experience with Azure AI Services, Azure OpenAI, AWS, Kubernetes, microservices, distributed computing, event-driven systems, and REST APIs.
Knowledge of knowledge graphs, ontology engineering, vector databases, semantic search, digital twin architecture, data governance, and enterprise knowledge systems.
Programming experience with Python, C++, C#, or Java; demonstrated strategic thinking, systems thinking, technical leadership, collaboration, executive communication, problem solving, and business acumen.
Nice to have
Ph.D. in artificial intelligence, robotics, machine learning, autonomous systems, computer science, electrical engineering, mining engineering, or a related technical field.
Experience with autonomous mining, autonomous trucks, heavy equipment, mining or construction technology, industrial automation, robotics, or intelligent transportation systems.
Experience with MineStar or equivalent fleet management platforms, AI-enabled equipment, industrial AI assistants, edge AI deployment, autonomous platforms, digital twins, operational simulation, or agentic AI frameworks.
Publications, patents, research contributions, or technology commercialization in AI, robotics, autonomous systems, Physical AI, or mining technologies.
Culture & Benefits
Full-time role within hirify.global's Technology, Digital and Data career area.
Work focuses on building scalable, commercially deployable AI solutions for autonomous mining and more sustainable industrial operations.
hirify.global is an equal opportunity employer; qualified applicants of any age are encouraged to apply.
Hiring process
Applications are accepted during the posting period from November 4, 2026 through December 3, 2026.
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