Specialist Solutions Architect - GenAI (Healthcare & Life Sciences)
Specialist Solutions Architect - GenAI (Healthcare & Life Sciences)
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Salary Not Disclosed
1 Vacancy
Job Description
P226
This role can be remote; however we are specifically targeting candidates based on the East Coast.
As a Specialist Solutions Architect (SSA) Data Science & ML you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting productiongrade ML applications on Databricks while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI LLMOps and ML while expanding your impact through mentorship and establishing yourself as a ML expert.
The impact you will have:
- Architect production level ML workloads for customers using our unified platform including endtoend ML pipelines training/inference optimization integration with cloudnative services and MLOps
- 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 and participating in the larger ML SME community in Databricks
- Collaborate 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 ML offerings
- Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
- Serve as the trusted technical advisor for customers developing GenAI solutions such as RAG architectures on enterprise knowledge repos querying structured data with natural language content generation and monitoring
What we look for:
- 5 years of handson industry ML experience in at least one of the following:
- ML Engineer: Develop productiongrade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications including drift monitoring
- Data Scientist: Experience with the latest techniques in natural language processing including vector databases finetuning LLMs and deploying LLMs with tools such as HuggingFace Langchain and OpenAI
- Graduate degree in a quantitative discipline (Computer Science Engineering Statistics Operations Research etc.) or equivalent practical experience
- Experience communicating and teaching technical concepts to nontechnical and technical audiences alike
- Passion for collaboration lifelong learning and driving our values through ML
- Preferred 2 years customerfacing experience in a presales or postsales role
- Preferred Experience working with Apache Spark to process largescale distributed datasets
- Can meet expectations for technical training and rolespecific outcomes within 3 months of hire
- Can travel up to 30% when needed
Required Experience:
Unclear Seniority
Employment Type
Full Time
