Sr. Specialist Solutions Architect

Навыки

• AI-агенты
• AI-инструменты в работе
• AWS
• Azure
• Data Lake
• Google Cloud
• Лидерство

О компании и продукте

• 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 .

Задачи

• ReqID: FEQ427R340
• Skills: Platform & Security
• As a Senior Specialist Solutions Architect, you will serve as the trusted technical 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
• Impact you will have
• Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services
• GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data
• Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges
• Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap
• Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons

Требования

• 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

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• Location: London

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