Databricks предлагает хорошо очерченную практическую роль на стыке AI и обучения, а компания и домен выглядят сильными. Но зарплата заметно ниже ориентира для похожих senior-позиций, что снижает привлекательность предложения.
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Ниже рынкаСовременный стекПонятная рольСфера AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Skills Systems Architect (AI): Building skills taxonomies, capability models, learning context resources, and AI-native tooling for technical capability across employees, customers, and partners with an accent on skills modeling, live observability, and capability measurement. Focus on designing LLM-driven extraction, agentic pipelines, drift and gap detection, reusable APIs, and systems that keep technical skills aligned with evolving products and roles.
Location: United States
Salary: $93,900–$161,350 USD annually, depending on pay zone.
Company
Databricks is a data and AI company providing a unified platform for data, analytics, AI applications, and agents.
What you will do
Define skills taxonomies, capability models, prerequisites, skill relationships, and learning context for technical roles.
Build live instrumentation and AI-informed signals to measure capability, skill movement, emerging demand, drift, and gaps.
Develop LLM-driven skill extraction and organization, agentic pipelines, automated detection, and APIs that maintain and expose the capability model.
Create reusable enterprise context used by content, curriculum, learning architecture, certification, accreditation, and product teams.
Enable in-product training and learning pathways to target, measure, and communicate skills attainment.
Drive strategy as an individual contributor through analysis and clear writing.
Requirements
Experience in technical training, learning, enablement, or product education for data and AI, cloud, or comparable products.
Experience designing skills or capability models and related systems for modeling, measurement, and instrumentation.
Ability to use Python and SQL, build applications, wire pipelines, and create tooling with AI assistance.
Practical experience using AI tooling for extraction, assessment, agentic workflows, and evaluation.
Track record of moving strategy forward as an individual contributor through analysis and clear writing.
Must be based in the United States.
Nice to have
Familiarity with skills-intelligence tools and build-versus-buy decisions.
Experience instrumenting capability data across multiple audiences.
Culture & Benefits
Comprehensive benefits and perks are offered, with details varying by region.
Eligibility may include an annual performance bonus and equity.
Commitment to inclusive hiring and equal employment opportunity.
Access to a global company with offices around the world.
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