Databricks은(는) Senior Specialist Solutions Architect를 채용합니다. Data Science, Machine Learning, GenAI 분야의 10년 이상 경력을 보유한 전문가를 찾습니다. 고객의 AI 워크로드 설계 및 LLM, MLOps 구현을 주도하며 기술적 리더십을 발휘하게 됩니다. Apache Spark 활용 능력과 뛰어난 커뮤니케이션 역량이 필수입니다.
ReqID: FEQ427R340
Location: London
Skills: Data Science, Machine Learning, AI, LLM, GenAI
As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader.
Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either:
ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance.
Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).
Hands-on experience working with Distributed Spark based systems
Experience with data engineering concepts or a good understanding of data engineering concepts
Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred
[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets
Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences.
Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI.
Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.
Can meet expectations for technical training and role-specific outcomes within 3 months of hire
Can travel up to 30% when needed
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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.
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
