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Вакансия сочетает практическую разработку AI-решений с архитектурным лидерством в производстве, но требования экспортного контроля ограничивают круг тех, кто может её занять.
Ограничения по ITAR/EAR
?Широкая зона ответственности
Современный AI-стек
AI для производства
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Solutions Architect (Manufacturing): Designing and deploying enterprise AI, ML, and LLM solutions for manufacturing data, enterprise copilots, and governed AI capabilities with an accent on scalable architecture, secure integrations, and responsible AI. Focus on building RAG systems, vector databases, data pipelines, and AI assistants while supporting predictive maintenance, quality metrics, and process optimization.
Location: Remote within the United States. Employment type: Full time.
Company
hirify.global develops and operates advanced materials and manufacturing solutions.
What you will do
Design, develop, operationalize, and deploy AI/ML and LLM-based solutions in production.
Build data pipelines and integrations for manufacturing and operational data, supporting predictive maintenance, quality metrics, and process optimization.
Implement enterprise AI architectures using RAG, vector databases, semantic layers, orchestration frameworks, and AI assistants.
Lead implementation of Microsoft Copilot and custom GPT solutions securely connected to internal data sources.
Define scalable architecture patterns, reusable frameworks, and standards; conduct design reviews and guide engineering teams.
Support the hirify.global AI Committee and establish guardrails for responsible AI, security, data protection, governance, and compliance.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field, or equivalent practical experience.
At least 5 years of experience in software engineering, data engineering, or solution architecture roles.
Hands-on experience with AI/ML or large language model solutions.
Strong coding and API development experience, with experience using cloud platforms and modern data architecture.
Strong understanding of APIs, data pipelines, and system design, with the ability to design and implement systems independently.
Ability to define scalable AI and data architecture patterns, guide engineering teams, and conduct design reviews.
Understanding of responsible AI, data protection, security, and compliance requirements.
Must qualify for export-compliance eligibility to access U.S.-controlled technology under ITAR and EAR.
Nice to have
Experience in manufacturing or industrial environments, including IT/OT integrations.
Familiarity with Microsoft Copilot, Azure OpenAI, or similar platforms.
Experience with data lakes, streaming, or large-scale telemetry data.
Experience with Azure, Python, modern AI/ML frameworks, RAG, vector databases, semantic layers, orchestration frameworks, identity and access controls including authentication and RBAC, and NIST or similar compliance frameworks.
Culture & Benefits
Full-time remote work within the United States.
Equal employment opportunity employer with support for reasonable accommodations.
Veterans are encouraged to apply; hirify.global supports its Veteran Employee Resource group.
Hiring process
Employment is contingent on meeting export-compliance eligibility requirements or obtaining any required export license within hirify.global’s business timeline.
Complete application information is required; an incomplete application may affect consideration.
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