lead solutions architect for Generative AI

HireHi; United States; Hybrid; USD 159,000 - 238,000; Full time

Job summary

Databricks ищет ведущего специалиста по GenAI и LLM, чтобы возглавлять техническую экспертизу в области Generative AI и приложений ML для EMEA Emerging DNB. Вы будете консультировать команды и заказчиков, разрабатывать PoC и настраивать крупномасштабные решения.

Требуется глубокое владение GenAI, настройкой моделей, MLOps и Python (PyTorch, Transformers, MLflow, Spark). Будете работать в международной среде с гибридным режимом и командой по регионам.

Qualifications

• Сильное понимание GenAI и LLM, их применений.
• Глубокая экспертиза в GenAI-паттернах, точной настройке и оценке.
• Основы ML/DL, распределённое обучение и GPU-нав workloads.
• Умение работать в Python и экосистеме ML (PyTorch, Transformers, MLflow, Spark).
• Опыт с Databricks и облаками AWS/Azure/GCP.

Responsibilities

• Выступать в роли технического эксперта по GenAI для EMEA Emerging DNB.
• Сотрудничать с Solutions Architects/Engineers и командами продаж для определения и проектирования кейсов.
• Создавать PoC и reference-реализации для крупных задач на LLM.
• Вести настройку и адаптацию моделей на открытых LLM.
• Передавать фидбек в дорожную карту продукта и представлять её полю.
• Наставлять команду Field Engineering EMEA через обучающие мероприятия.
• Представлять Databricks на конференциях и в блогах.

Skills

GenAI expertise

LLMs knowledge

Applied ML

Python

PyTorch

Transformers

MLflow

Spark

Communication skills

Leadership

Tools

Databricks

AWS

Azure

GCP

GPU workloads

Job description

Описание:

Databricks is a Data and AI company. More than 20,000 organizations worldwide rely on its Data + AI Platform to build and scale data and AI apps, analytics, and agents.

Задачи:

• Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting strategic and complex customer engagements
• Partner with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases, including RAG, agentic systems, fine-tuning, and evaluation
• Build hands-on proofs of concept and reference implementations for large-scale LLM and deep learning workloads on Databricks
• Lead fine-tuning and model-customization engagements on open LLMs, including judge-based and label-efficient evaluation approaches
• Channel field and customer feedback into the product roadmap and represent the roadmap to the field
• Enable and mentor the EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement
• Represent Databricks externally through conference talks, blogs, and customer executive briefings

Требования:

• Strong understanding of proprietary and open-source LLMs, their capabilities, trade-offs, and suitability for different use cases
• Deep expertise in GenAI application patterns, fine-tuning, model customization, prompt and evaluation engineering, and LLM guardrails and 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 ability to ramp up quickly; experience with AWS, Azure, or GCP
• Excellent communication and consultative skills, including explaining complex GenAI trade-offs to engineers and senior technical executives
• Track record of technical leadership and mentorship
• Comfortable working at the pace of digital-native and high-growth customers
• Based in the United Kingdom and able to work across EMEA time zones; willing to travel to customer sites in the region as needed
• Будет плюсом: experience helping digital-native customers build data and ML solutions, public technical presence through conference speaking, published talks, blogs, or open-source contributions in ML/GenAI, domain expertise in regulated or high-stakes industries, experience partnering with Product and Engineering teams to influence roadmaps

Условия:

Локация: Великобритания Benefits and perks are provided; specific details depend on the region