aidata sciencellmragmachine learninggenerative aisoftware engineeringtechnical leadershipresponsible aiai governance
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$123к-190к/год
$140к$160кмедиана$190к
По похожим ролям (48) ~ $160к/год
На СНГ рынке: $3.6к/мес ($2.2к - $4.3к)
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Средняя вакансия
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Роль дает широкую зону ответственности за развитие корпоративного ИИ, но обязанности и требования заметно повторяются, а заявленные 3+ года опыта выглядят скромно для такого масштаба.
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Повторы в описанииМасштаб и стажАктуальные технологии ИИТолько США
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Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager AI (Enterprise AI/LLM Governance): Leading multidisciplinary AI teams and developing scalable, secure, governed AI platforms and applications with an accent on large language models, RAG, agentic AI, lifecycle management, and responsible AI. Focus on defining enterprise AI strategy, governing architecture and risk, building reusable platforms, and delivering measurable business outcomes across complex technology initiatives.
Location: Remote, United States; the posting also lists San Ramon, CA.
Annual salary: $123,000–$190,000, negotiable based on experience and location, plus eligibility for a discretionary annual bonus.
Company
hirify.global provides staffing and professional services and is hiring for its Corporate Services organization.
What you will do
Translate enterprise AI strategy into team objectives, delivery roadmaps, operating models, investment plans, and measurable business outcomes.
Lead multidisciplinary Data Science, AI Engineering, Machine Learning Engineering, and related technical teams.
Guide the adoption of LLMs, foundation models, generative AI, RAG, agentic AI, multimodal AI, machine learning, and knowledge architectures.
Establish AI technology vision, strategic architecture, reusable platform components, enterprise frameworks, and innovation roadmaps.
Own AI initiative delivery and portfolio management, including priorities, resources, dependencies, risks, success metrics, deployment, monitoring, and continuous improvement.
Drive responsible AI governance, security, privacy, compliance, model evaluation, operational controls, hiring, workforce planning, mentoring, and organizational development.
Requirements
Bachelor's degree in a related field or equivalent experience.
3+ years of professional experience in software engineering, data science, machine learning, artificial intelligence, technology delivery, and technical leadership within large-scale enterprise environments, including building high-performing technical teams and delivering enterprise AI capabilities.
Experience leading AI, data science, software engineering, or technology teams developing and deploying production-grade AI capabilities, including technical roadmaps, resource planning, delivery execution, and organizational transformation.
Experience leading complex and ambiguous technology initiatives by aligning people, processes, technical capabilities, and business priorities to deliver measurable outcomes.
Ability to lead and develop multidisciplinary teams and build a culture of innovation, collaboration, technical excellence, and continuous improvement.
Exceptional communication skills for explaining AI concepts, technical strategies, delivery plans, risks, and opportunities to executives, business stakeholders, technical teams, and non-technical audiences.
Strong technical understanding of LLMs, foundation models, generative AI applications, agentic AI, RAG, machine learning systems, AI evaluation methodologies, and emerging AI technologies.
Understanding of the AI solution lifecycle, responsible AI, governance, model risk management, security, privacy, compliance, ethical AI, and operational controls.
Experience evaluating emerging AI technologies, assessing technical feasibility, managing technology roadmaps, prioritizing investments, identifying delivery risks, and advancing organizational AI maturity.
Culture & Benefits
Remote work environment with a focus on scalable, secure, governed, and impactful AI delivery.
Medical, vision, and dental insurance, plus FSA and HSA healthcare accounts.
Life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short- and long-term disability coverage.
Paid time off for vacation, personal needs, and sick time; up to 17 days of CTO for a new hire and up to 11 paid holidays per calendar year.
Eligible employees may contribute to a 401(k) or deferred compensation plan, with a 100% employer match on the first 3% of contributions.
Employment offers are contingent on successful completion of a background check.
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