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Sr. Specialist Solutions Architect

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Hybrid (Melbourne or Sydney)Full-timePosted 2mo ago

About the role

Specialist Solutions Architect (SSA) at Databricks, Melbourne or Sydney, acting as the trusted technical ML & AI expert to customers and Field Engineering, guiding production-grade ML/AI applications on the Databricks Data Intelligence Platform, and mentoring others while advancing GenAI, MLOps, and ML capabilities.

Responsibilities

  • 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

Qualifications

  • 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer or AI Engineer roles as described
  • 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
  • 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

Skills

Required:ML engineeringLLMs & agentic systemsCommunication & storytelling
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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