Databricks11 days ago
Sr. Specialist Solutions Architect
Salary not specified
MARKET
15,349 ₽median for this role
Solution Architect · 48 jobs with disclosed pay
5,600half of the offers: 14,999–18,25823,987
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Melbourne
Responsibilities
- 01Architect 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
- 02Serve 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
- 03Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
- 04Provide 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
- 05Collaborate 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
Requirements
- 015+ years of hands-on industry ML experience in at least one of the following: 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
- 02Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- 03Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- 04Passion for collaboration, life-long learning, and driving business value through ML & AI
- 05[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
- 06Can meet expectations for technical training and role-specific outcomes within 3 months of hire
- 07Can travel up to 30% when needed
What we offer
- 01Location: Melbourne or Sydney
- 02Can travel up to 30% when needed
- 03Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here