Specialist Solutions Architect - DS/ML/AI/GenAI with Big Data

Overview

Skills: Data Science, Machine Learning, AI, LLM, GenAI and Spark or Big Data

As a Specialist Solutions Architect (SSA) - ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.

What you will do

• Architect production-level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services and MLOps
• Provide advanced technical support to Solution Engineers during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, and participating in the larger ML SME community in Databricks
• Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' ML offerings
• Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
• Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring

What we look for

• 5+ years of experience in a customer-facing technical role. Pre-sales or post-sales experience working with external clients across a variety of industry markets

Data Science/ML Skills

• 5+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
• Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Experience communicating and teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving our values through ML
• Experience in a customer-facing role in a pre-sales or post-sales role
• Experience working with Apache Spark to process large-scale distributed datasets
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• Can travel up to 30% when needed

About Databricks

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.

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, please visit