解决方案架构师负责人 - 生成式 AI（EMEA 新兴 DNB）
Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
REQ ID: FEQ227R147
地点：英国（远程/混合办公 — 伦敦或英国本地）
招聘负责人：Dina Hussain
职位简介
我们正在寻找一位专注于生成式 AI 的解决方案架构师，以支持我们的 EMEA 新兴数字原生企业和初创企业业务部门——这是 EMEA 地区发展最快、技术最雄心勃勃的团队之一。我们的客户是数字原生和云原生公司，他们处于技术前沿：他们早期采用生成式 AI，快速扩展，并期望他们的技术合作伙伴与他们自己的工程师一样专业。
当生成式 AI 或大语言模型（LLM）用例需要从雄心勃勃的想法转变为生产级现实时，你将成为客户和客户经理团队首先寻求帮助的专家。
这是一个高度技术性、面向客户的个人贡献者角色，适合一位身处应用生成式 AI 前沿的人才。你将塑造架构，解决复杂问题，影响客户路线图，并提升整个 EMEA 新兴数字原生企业（DNB）团队的生成式 AI 能力。
你将负责的工作
- 作为 EMEA 新兴数字原生企业（DNB）业务部门在生成式 AI、大语言模型（LLM）和应用机器学习方面的深度技术权威，支持我们数字原生和云原生客户中最战略性和复杂的客户项目。
- 与我们的 EMEA 新兴数字原生企业（DNB）解决方案架构师、解决方案工程师和客户经理团队合作，规划、设计并降低生成式 AI 用例的风险——从检索增强生成和代理系统到微调和评估。
- 构建动手的原型和参考实现，将大规模 LLM 和深度学习工作负载在 Databricks（Mosaic AI、MLflow、模型服务、向量搜索、Unity Catalog 治理）上进行操作，满足新兴数字原生企业客户所期望的快速迭代周期。
- 领导在开源 LLM（如 Llama 系列模型）上的微调和模型定制项目，包括在质量与安全至关重要的领域中基于评判和标签高效的评估方法。
- 担任产品和工程团队之间的桥梁——将现场和客户反馈传递到产品路线图，并将路线图反馈给现场团队。
- 通过研讨会、参考架构和内部赋能，为更广泛的 EMEA 新兴数字原生企业（DNB）现场工程团队提供支持和指导，将生成式 AI 专业知识在我们约70人的 SA/SE 组织中广泛传播。
- 作为技术思想领袖代表 Databricks 对外发声——发表会议演讲
查看英文原文
REQ ID: FEQ227R147
Location: Germany (Remote/Hybrid) - will require travel across Europe
Recruiter: Dina Hussain
About the Role
We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers.
You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts.
This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation.
What You'll Do
- Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts.
- Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation.
- Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect.
- Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount.
- Act as a bridge to Product and Engineering — channel field and customer feedback into the roadmap and represent the roadmap back to the field.
- Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation.
- Represent Databricks externally as a technical thought leader — conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings.
What We're Looking For
- Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers.
- Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety.
- Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring).
- Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations.
- Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model Serving, Vector Search, and Unity Catalog. Cloud experience across AWS, Azure, or GCP.
- Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives, and to explain complex GenAI trade-offs clearly.
- A track record of technical leadership and mentorship — someone who elevates the people around them.
- Comfort operating at the pace of digital-native and high-growth customers, where speed, iteration, and technical credibility win the deal.
- Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed.
- Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus.
Nice to Have
- Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space.
- Domain depth in a regulated or high-stakes industry (healthcare/life sciences, financial services) where model quality, evaluation, and safety are critical.
- Experience partnering with Product and Engineering teams to influence roadmap.
Why This Role
You will work on the hardest and most exciting GenAI problems our EMEA Emerging DNB customers have — companies building the future in real time — with the platform and the people to actually solve them, not just advise. You'll shape how one of EMEA's highest-growth business units adopts Generative AI, influence the direction of the product, and build a public profile as a recognised expert in the field. This is the role for a builder and a teacher, who wants their expertise to have outsized impact.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
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