Generative AI Solutions Architect — Healthcare

WinsAbove

United States

On-site

USD 180,000 - 248,000

Full time

2 days ago
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Job summary

Databricks is seeking an experienced Specialist Solutions Architect to drive the design and implementation of generative AI workloads for Healthcare & Life Sciences. You will partner with Solution Architects to translate customer problems into AI prototypes and scalable production solutions on the Databricks Data Intelligence Platform.

You will advance expertise in LLMs, RAG, MCP and context engineering, while guiding customers from prototype to production and ensuring governance and cost

Qualifications

  • 5+ years of hands-on experience in a technical role, with recent hands-on work building generative AI applications or agents.
  • Experience taking AI applications or agents to production to solve business problems, including tracing, evaluation, monitoring, serving and cost control, with tools like MLflow.
  • Strong foundation in data engineering, data warehousing or ML, including pipelines, data modeling, SQL performance and warehouse migrations.

Responsibilities

  • Architect generative AI applications and agents for Payer and Provider workloads with retrieval-augmented generation and foundation models.
  • Build multi-agent systems and tool integrations for clinical and revenue-cycle workflows.
  • Ground AI in governed data through context engineering and semantic layers.

Skills

Generative AI
LLMs
RAG
Tool calling
MCP
SQL
Python
Scala/Java
Production deployment
Big data

Education

Bachelor’s degree in Computer Science/Engineering/Information Systems

Tools

MLflow

Job description

Databricks is seeking an experienced Specialist Solutions Architect to drive the design and implementation of generative AI workloads for Healthcare & Life Sciences. You will partner with Solution Architects to translate customer problems into AI prototypes and scalable production solutions on the Databricks Data Intelligence Platform.

You will advance expertise in LLMs, RAG, MCP and context engineering, while guiding customers from prototype to production and ensuring governance and cost

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