Senior Engineer: Semantic & Agentic AI Leader (Hybrid)

Cambia Health

Spokane (WA)

Hybrid

USD 140.000 - 190.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Cambia Health is seeking a Senior Engineer to lead the Semantic & Agentic Intelligence squad. You will design scalable dimensional models, semantic layers, and governed metrics used by business users and AI systems. You will mentor engineers and drive engineering standards across the squad.

You will develop AI agents for healthcare use cases, implement RAG pipelines, and leverage Snowflake Cortex or similar tooling, while ensuring observability and cost efficiency in a regulated environment.

Qualifikationen

  • 6+ years in Data Eng, Semantic Modeling, or AI/ML Eng with senior/lead experience
  • College degree in CS/Math/Business or related field
  • Degree may be substituted by healthcare industry experience
  • Experience with relevant business areas (Provider Network, Claims, Membership, Digital) preferred
  • Equivalent combination of education and experience

Aufgaben

  • Lead and mentor Data and AI Engineers
  • Design and own scalable dimensional models and semantic layers
  • Develop and deploy AI agents in governed environments
  • Build LLM/agentic applications with RAG pipelines and vector search

Kenntnisse

Dimensional modeling
Semantic layer
Agentic AI
SQL fundamentals
Snowflake
dbt
ETL/ELT
Airflow
Governed metrics
LLM engineering
Prompt engineering
AI agents

Ausbildung

B.S. in CS/Math/Related

Tools

Snowflake Cortex
dbt Semantic Layer
Airflow
Power BI/Tableau/Looker

Jobbeschreibung

Cambia Health is seeking a Senior Engineer to lead the Semantic & Agentic Intelligence squad. You will design scalable dimensional models, semantic layers, and governed metrics used by business users and AI systems. You will mentor engineers and drive engineering standards across the squad.

You will develop AI agents for healthcare use cases, implement RAG pipelines, and leverage Snowflake Cortex or similar tooling, while ensuring observability and cost efficiency in a regulated environment.

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