Sr. Specialist Solutions ArchitectNew
The opportunity
As a Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on…
What you'll do
Architect production-level ML & AI workloads for customers using our unified: platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
Serve as a trusted practitioner for enterprise GenAI solutions, including RAG: architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
Build, scale, and optimize customer AI workloads and apply best-in-class: MLOps to productionize these workloads across a variety of domains
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, as well as participating in the larger ML SME community in Databricks
Collaborate cross-functionally 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’ AI offerings
+ years of hands-on industry ML experience in at least one of the following:
What they're looking for
- ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP): infrastructure that supports the deployment of ML applications, including drift monitoring.
- AI Engineer: Experience with the latest techniques in LLMs & agentic systems,: including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
- Graduate degree in a quantitative discipline (Computer Science, Engineering,: Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
