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Job Overview

As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization.

Key points

  1. 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…

  2. Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails)…

  3. Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains.

  4. Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring…

  5. Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

  6. Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems…

  7. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.

  8. Experience communicating and/or teaching technical concepts to non-technical and technical audiences a.

Skills

DatabricksMachine LearningLLMsMLOpsGenerative AIRoadmappingAWSAzure

Experience: Entry-level · 5+ years

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