Specialist Solutions Architect - GenAI

Databricks

Jul 14

Applications are closed

Job
Full-time
Senior Level
Data
Munich

Requirements

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
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
Experience communicating and teaching technical concepts to non-technical and technical audiences alike
Experience with collaboration, life-long learning, and driving our values through ML
[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
[Preferred] 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

Responsibilities

Architect production level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
Provide advanced technical support to Solution Architects 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 Subject Matter Expert 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
Be a 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.

FAQs

What qualifications are needed for the Specialist Solutions Architect - GenAI role?

The qualifications needed for this role include 5+ years of hands-on industry ML experience in ML Engineering or Data Science, a graduate degree in a quantitative discipline (such as Computer Science or Engineering), experience communicating technical concepts to different audiences, collaboration skills, and preferably 2+ years of customer-facing experience.

What are some responsibilities of the Specialist Solutions Architect - GenAI?

Some responsibilities of this role include architecting production-level ML workloads for customers, providing technical support during the sales process, collaborating with product and engineering teams, building customer data science workloads, and acting as a trusted technical advisor for GenAI solutions.

Are there any preferred skills or experiences for this role?

Preferred skills or experiences for this role include working with Apache Spark™, having customer-facing experience in a pre-sales or post-sales role, and being able to meet role-specific outcomes within 3 months of hire.

What benefits are offered for the Specialist Solutions Architect - GenAI role?

Benefits offered for this role include private medical insurance, life, accident & disability insurance, pension plan, equity awards, enhanced parental leaves, fitness reimbursement, annual career development fund, mental wellness resources, and more.

Databricks

Technology

Industry

1001-5000

Employees

2013

Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).