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