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Databricks

Sr. Specialist Solutions Architect

Databricks
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hybrid senior full-time Melbourne, Australia

First indexed 12 Aug 2026

Description

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

You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

The impact you will have:

  • Architect production-level ML & AI workloads for customers using the unified platform, including agents, end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services, MLOps, etc.
  • Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring systems.
  • Build, scale, and optimise customer AI workloads and apply best-in-class MLOps to productionise these workloads across various domains.
  • Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering to model monitoring.
  • Collaborate cross-functionally with product and engineering teams to represent the voice of the customer and influence the product roadmap.

What we look for:

  • 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer, 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 or equivalent practical experience.
  • Experience communicating technical concepts to non-technical and technical audiences.
  • Passion for collaboration, life-long learning, and driving business value through ML & AI.
  • [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role.
  • Can meet expectations for technical training and role-specific outcomes within 3 months of hire.
  • Can travel up to 30% when needed.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8625656002