Databricks11 дней назад
Специалист по продукту - Gen AI (Senior Specialist Solutions Architect)
Зарплата не указана
РЫНОК
15 000 ₽медиана по профессии
Solution Architect · 60 вакансий с указанной зарплатой
5 600половина предложений: 15 000–18 258180 000
Работодатель не указал зарплату — сравните с рынком сами.
Paris
Обязанности
- 01Deliver thought leadership in Gen AI best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond
- 02Working with sales and FE leaders drive adoption of Gen AI across EMEA
- 03Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities
- 04Provide guidance and oversight for large-scale enterprise Gen AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives
- 05Work closely with key customers on specific Gen AI use-cases helping translate research innovations into production grade AI applications
- 06Act as the technical bridge between Product Management and the EMEA Field Engineering and Sales teams
- 07Provide thought leadership on best practices around how to build and deploy agentic AI systems with Databricks
- 08Work closely with the Databricks Product Management team to drive adoption of Gen AI features and ensure a consistent product vision for the EMEA technical field
- 09Work closely with specific accounts on our most challenging Gen AI use-cases around reinforcement learning and fine-tuning
- 10Own the enablement and escalations within the EMEA Field Engineering team around relevant features
Требования
- 01Experience designing and delivering production-grade Generative AI and Deep Learning solutions in customer or enterprise environments
- 02Strong hands-on experience with LLMs and modern Deep Learning: Transformer architectures, PyTorch, and distributed/multi-GPU training
- 03Hands-on experience taking LLM post-training beyond fine-tuning: SFT plus reinforcement learning–based methods — reward modeling, RLHF/RLAIF, or policy optimization (e.g., PPO, GRPO) — applied to steer models toward specific behaviors and quality criteria
- 04Ability to advise customers on GenAI and Deep Learning architectures, translate requirements into technical solutions, and anticipate and remove implementation blockers
- 05Excellent communication skills; both written and verbal
- 06Experience in pre-sales selling highly desired
Условия
- 01Can be located in Paris or Amsterdam
- 02Report directly to the Sr. Director Product Specialists Databricks Field Engineering
- 03Comprehensive benefits and perks that meet the needs of all of our employees
- 04Committed to fostering a diverse and inclusive culture where everyone can excel