aipythonkubernetescloudiamllminfrastructure as codemlopsci cdmodel serving
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко описанная руководящая роль сочетает запуск и поддержку AI-платформы с управлением командой в крупной фармкомпании, но широкий объём ответственности и дежурства стоит обсудить заранее.
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Широкая зона ответственностиДежурства и инцидентыСовременный AI-стекAI в фармацевтикеПонятная миссия
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Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, AI Platform & Foundation (AI): Building and operating Pfizer China’s governed AI platform and LLM foundation on China cloud providers with an accent on model serving, cloud platform engineering, security, compliance, and platform governance. Focus on designing production-grade AI infrastructure, qualifying models and services, running release gates and SLAs, and leading the China AI platform team.
Location: Shanghai, China
Company
hirify.global is a global pharmaceutical company operating in a regulated industry.
What you will do
Own the China AI platform and LLM foundation across architecture, engineering, security, compliance, release management, roadmap, budget, model lifecycle, and platform operations.
Build and operate cloud environments on Alibaba Cloud, Tencent Cloud, and AWS China, including identity and access management, GPU capacity, model serving, monitoring, automation, and infrastructure as code.
Lead model, cloud service, and tooling qualification, including security, privacy, China data residency under PIPL, legal review, and generative AI compliance.
Define engineering standards for model integration, agent runtimes, guardrails, evaluation, MLOps/LLMOps, CI/CD, code review, documentation, and reusable architectures.
Represent China with Corporate and Global CIO teams, run the AI platform release gate, and align platform production readiness with the D&T go-live gate.
Lead the platform team and matrixed colleagues and contractors while supporting adoption through sample agents, reusable components, documentation, training, and user community activities.
Requirements
AI platform engineering and technical product leadership experience, including production model serving or MaaS integration, an AI gateway, guardrails or content moderation, and at least one agent framework.
Cloud platform engineering experience on Alibaba Cloud, Tencent Cloud, or AWS, including containers and Kubernetes, IAM, GPU capacity, infrastructure as code, and CI/CD; production-quality Python, Linux, and Git skills.
Experience managing LLM foundations through model selection, pre-production safety, content-compliance and performance evaluation, and lifecycle management.
Experience operating production services against SLAs, including monitoring, observability, on-call, incident management, and cloud cost control.
Experience taking new technology through enterprise security, privacy, and architecture review before production use.
Proven partnership with Corporate or Global CIO organizations and experience managing cloud hosting and software license suppliers.
Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a closely related discipline.
Typically 12+ years of professional experience, including 5+ years building and operating production cloud, data, or AI platforms, plus experience hiring, leading, and developing engineers and contractors. Candidates with an exceptional background may be considered from 10+ years.
Professional working proficiency in Mandarin and English.
Nice to have
Working knowledge of PIPL, CAC rules for generative AI services, and MLPS.
Experience serving open-weight models on GPU infrastructure; domestic accelerator experience is a plus.
Experience with enterprise single sign-on using SAML/OIDC and cloud IAM integration.
Experience working in a multinational organization with global platform, security, and governance teams across time zones.
Pharmaceutical or other regulated-industry experience.
Culture & Benefits
Operate within AITO and collaborate across AI acceleration, data engineering, enterprise engineering, deployment and operations, business, legal, compliance, cybersecurity, and data protection teams.
Work with Corporate and Global CIO organizations to reuse global patterns and contribute China-proven capabilities for global reuse.
Support responsible AI, security, privacy, governance, measurable outcomes, and continuous service improvement.
hirify.global is an equal opportunity employer and complies with applicable equal employment opportunity legislation in each jurisdiction.
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