Senior AI Engineer — Semantic & Agentic Intelligence

Cambia Health; Vancouver (WA); Hybrid; USD 150,000 - 185,000; Full time

Job summary

Cambia Health is seeking a Senior Engineer for the Semantic & Agentic Intelligence squad. Hybrid role with three days in office, focused on building semantic foundations and agentic AI capabilities across the enterprise.

You will mentor engineers, set technical standards, and shape platform strategy while growing toward principal-level leadership. Bring deep modeling, governance, and AI/LLM expertise to regulated healthcare environments.

Qualifications

• 6+ years of relevant experience in Data Engineering, Semantic Modeling, or AI/ML Engineering, with senior or lead experience.

Responsibilities

• Lead and mentor Data and AI Engineers and drive engineering standards and best practices across the squad.
• Design, build, and own scalable dimensional models, semantic layers, and governed metric definitions used by business users and AI systems.
• Develop and deploy AI agents for healthcare use cases (prior authorization, member support, care gaps, utilization analytics, anomaly detection) in a governed, regulated environment.
• Build LLM/agentic applications including RAG pipelines, vector search, prompt engineering, and agent orchestration leveraging Snowflake Cortex or comparable tooling.
• Implement AI Ops practices including evaluation frameworks, guardrails, observability, and cost/performance optimization for deployed agents.

Skills

SQL

Dimensional Modeling

Semantic Layer

LLM Engineering

Agentic AI

Data Governance

Python

Education

Bachelor's degree in Computer Science or related field

Degree substituted by experience in healthcare

Tools

Snowflake

dbt

Airflow

Looker

Tableau

Job description

Cambia Health is seeking a Senior Engineer for the Semantic & Agentic Intelligence squad. Hybrid role with three days in office, focused on building semantic foundations and agentic AI capabilities across the enterprise.

You will mentor engineers, set technical standards, and shape platform strategy while growing toward principal-level leadership. Bring deep modeling, governance, and AI/LLM expertise to regulated healthcare environments.