В Databricks это senior-роль на стыке production AI, архитектуры клиентских решений и региональной продуктовой стратегии: обязанности понятны, а работа связана с актуальными GenAI-проектами.
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Влияние на стратегиюАктуальные AI-технологииШирокая зона ответственностиСильный AI-домен
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Specialist Solutions Architect (AI/ML) (AI/ML and Data Analytics): Defining AI product go-to-market strategy and driving adoption across Asia Pacific and Japan, while guiding customers on cloud-based data applications and production AI solutions with an accent on machine learning, Gen AI, LLM architectures, and executive-level technical advisory. Focus on designing RAG and agentic applications, supporting competitive pre-sales pursuits, enabling field teams, and shaping product strategy through customer and market feedback.
Location: Singapore
Company
Databricks is a Data and AI company providing a unified platform for data, analytics, AI applications, and agents, serving more than 20,000 organizations worldwide.
What you will do
Lead the vision and strategy for AI product adoption across Asia Pacific and Japan.
Define technical go-to-market strategy and develop materials that communicate the product value proposition.
Guide customers and senior executives on data application architecture, production AI solutions, and strategic data decisions.
Present, demonstrate, and pitch Databricks AI/ML products while supporting strategic competitive pursuits with field teams.
Enable field engineering teams and subject matter experts through best practices, assets, and product differentiation guidance.
Represent go-to-market needs with Product Management, Product Marketing, Engineering, partners, and field teams; present externally and publish thought leadership content.
Requirements
6+ years of experience in Data Science and Machine Learning, including 2+ years in production Gen AI.
Hands-on experience building solutions in major public cloud environments: AWS, Azure, or GCP.
Experience serving as a trusted advisor to technical executives and informing strategic data decisions.
Ability to co-plan large territories with Account Executives and work cross-functionally across go-to-market and R&D teams.
Expertise in traditional Machine Learning methodologies and deploying large-scale production systems.
Deep understanding of LLM application architectures, including RAG, agentic applications, and fine-tuning.
Knowledge of agent frameworks such as LangGraph, LlamaIndex, AutoGen, or DSPy; evaluation methodologies; and foundational model markets including Claude, Llama, Mistral, OpenAI, and open-source models.
Proven successful pre-sales experience in competitive situations.
Ability to define and execute strategic cross-functional programs, with high-impact internal and external communication skills.
Culture & Benefits
Inclusive culture supporting equal employment opportunity and diverse backgrounds.
Comprehensive benefits and perks, with details varying by region.
Access to a global organization with more than 30 offices worldwide and broad collaboration across product, engineering, marketing, and field teams.
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