Чётко очерченная ведущая роль в крупной AI-компании даёт практическую работу с GenAI, влияние на продукт и заметность в отрасли, но зарплата не указана, а требования к проживанию в Великобритании и поездкам сужают выбор.
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Зарплата не указанаОграничение по локацииАктуальный AI-стекПонятный масштабПерспективный доменВлияние на продукт
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Solutions Architect (Generative AI): Designing and operationalising production-grade GenAI and LLM solutions for digital-native customers with an accent on RAG, agentic systems, fine-tuning, evaluation, and MLOps. Focus on building Databricks reference implementations, solving model quality and safety challenges, and enabling field teams across EMEA.
Location: Netherlands (remote/hybrid); candidates must be based in the United Kingdom, work across EMEA time zones, and travel to customer sites across Europe as needed.
Company
Databricks provides a Data + AI Platform for building and scaling data, analytics, AI applications, and agents.
What you will do
Serve as the technical authority on Generative AI, LLMs, and applied machine learning for EMEA Emerging Digital Natives and Startups.
Design and de-risk GenAI use cases including retrieval-augmented generation, agentic systems, tool use, fine-tuning, and evaluation.
Build proofs of concept and production-quality reference implementations using Mosaic AI, MLflow, Model Serving, Vector Search, and Unity Catalog.
Lead open-LLM fine-tuning and model-customisation engagements, including judge-based and label-efficient evaluation.
Partner with Product and Engineering to provide customer feedback, influence the roadmap, and communicate roadmap updates to the field.
Mentor Solutions Architects and Solutions Engineers through workshops, reference architectures, enablement, and external technical presentations.
Requirements
Strong understanding of proprietary and open-source LLMs, their trade-offs, and suitability for different use cases.
Deep expertise in RAG, agents, tool use, fine-tuning, prompt engineering, evaluation engineering, and LLM safety.
Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the MLOps lifecycle.
Proficiency in Python and the ML ecosystem, including PyTorch, Transformers, MLflow, and Spark.
Experience with Databricks or the ability to ramp up quickly, plus cloud experience with AWS, Azure, or GCP.
Must be based in the United Kingdom, work across EMEA time zones, and be willing to travel to customer sites in Europe.
Nice to have
Technical conference speaking, published talks, blogs, or open-source contributions in ML or GenAI.
Experience in regulated or high-stakes industries such as healthcare, life sciences, or financial services.
Experience partnering with Product and Engineering teams to influence product roadmaps.
Background helping digital-native customers build data and ML solutions.
Culture & Benefits
Work on technically ambitious Generative AI problems for fast-growing digital-native customers.
Opportunity to influence product direction and expand GenAI expertise across a large EMEA field organisation.
Comprehensive employee benefits and perks, with details varying by region.
Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
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