Sr. Specialist Solutions Architect
Databricks2 months ago
Sydney, Australia or Melbourne, AustraliaSenior
Responsibilities
- Architect production-level ML and AI workloads for customers on the Databricks unified platform, including agents, end-to-end ML pipelines, training and inference optimization, cloud-native integrations, and MLOps.
- Design and advise on enterprise GenAI solutions including RAG architectures, agentic systems, tool-calling and multi-agent systems, guardrails, natural-language querying of structured data, AI evaluation, observability, and monitoring.
- Build, scale, and optimize customer AI workloads and productionize them using MLOps.
- Provide advanced technical support to Solution Architects during technical sales across feature engineering, training, tracking, serving, and model monitoring.
- Collaborate with product and engineering teams to represent customer needs, define priorities, influence the roadmap, and drive adoption of Databricks AI offerings.
- Mentor others and contribute to Databricks’ ML subject-matter-expert community.
Requirements
- At least 5 years of hands-on industry ML experience.
- Experience as an ML Engineer building and maintaining production-grade AWS, Azure, or GCP infrastructure for ML applications, including drift monitoring, or as an AI Engineer working with LLMs, agentic systems, vector databases, LLM fine-tuning, AI guardrails, HuggingFace, Langchain, and OpenAI.
- Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Ability to communicate and teach technical concepts to both technical and non-technical audiences.
- Preferred: at least 2 years of customer-facing pre-sales or post-sales experience.
- Ability to meet technical training and role-specific expectations within 3 months of hire.
- Ability to travel up to 30% when needed.
Benefits
- Location: Melbourne or Sydney.
- Travel up to 30% when needed.
- Comprehensive regional benefits and perks are offered.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.