Senior Engineer - Semantic & Agentic IntelligenceHybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston, Little Rock, and Springdale offices.Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo, Lewiston, Little Rock, and Springdale offices, or who are willing to relocate.Join our Data & Analytics Engineering team as a Senior Engineer on the Semantic & Agentic Intelligence Squad. You will design, build, and own the semantic foundation and agentic AI capabilities that power governed analytics, intelligent automation, and purpose-built data products across the enterprise.
You will serve as a technical lead, combining deep dimensional modeling expertise with modern AI/LLM engineering, mentoring engineers, driving technical standards, and contributing to platform strategy. This role positions you for growth into Principal-level engineering, architecture, or people leadership.
If you're a motivated Senior Engineer with a passion for making data trustworthy, intelligent, and actionable in healthcare, apply today!
What You Bring to Cambia: Qualifications: - 6+ years of relevant experience in Data Engineering, Semantic Modeling, or AI/ML Engineering, with senior or lead experience
- College degree in Computer Science, Mathematics, Business Administration, or a related field
- A degree may be substituted by sufficient years of experience in the healthcare industry
- Experience with a supported business area is preferred (e.g., Provider Network, Claims, Membership, Digital Solutions, Pricing)
- Equivalent combination of education and experience
Skills and Attributes: Preferably seeking a technically versatile engineer with deep expertise in dimensional modeling, semantic layer design, and agentic AI development. You bring a consulting-oriented mindset, strong SQL fundamentals, and hands-on experience building governed, observable AI solutions in complex enterprise environments.
Preferred Skills:Dimensional Modeling & Data Platform- Deep expertise in dimensional modeling with strong command of grain, bridge tables, many-to-many relationships, and slowly changing dimensions (SCDs)
- Awareness of common data modeling pitfalls and how to prevent them
- Strong SQL skills on Snowflake or a comparable cloud data warehouse
- Experience with dbt, ELT/ETL design patterns, and orchestration tools (Airflow or similar)
- Understanding of data governance, security, compliance, and enterprise platform ownership
Semantic Layer & Governed Metrics- Experience defining governed metrics in a semantic or metrics layer
- Has built and deployed a semantic layer (SSAS, LookML, dbt Semantic Layer, or similar) used directly by business users
- Experience evaluating AI-generated answers and diagnosing and fixing root causes in the semantic layer
Agentic AI & LLM Engineering- Experience deploying and monitoring AI agents in a governed, regulated environment
- Built LLM/agentic applications including RAG pipelines, embeddings/vector search, prompt engineering, tool/function calling, and agent orchestration frameworks
- Experienced with Snowflake Cortex (Analyst, Search, Agents) or comparable native AI tooling
- Experience developing and managing AI agents for use cases such as:
- Prior authorization
- Member support
- Care gap identification
- Utilization analytics
- Anomaly/outlier detection
AI Ops & Observability- Implemented evaluation frameworks, guardrails, and observability for AI agents covering accuracy, hallucination detection, latency, and cost
- Familiarity with scoring techniques such as F1 scoring and related evaluation metrics
- Experience with model/agent monitoring, cost optimization, and performance tuning
Healthcare Domain Knowledge- Working knowledge of payer data: claims (837/835), eligibility, enrollment, and provider data
- Familiarity with healthcare standards: HL7/FHIR, ICD-10, CPT/HCPCS
Nice to Have:- Experience with ontologies, knowledge graphs, or formal business vocabularies
- Built and managed MLOps pipelines with familiarity with ML models including regression and ensemble methods (e.g., KNN, XGBoost, Random Forest, Decision Trees)
- Experience building consumer-facing AI applications or features involving inference
- Experience building multi-tier AI applications or multi-agent workflows, including multimodal LLM experience
- Experience with statistical and predictive modeling (regression, classification, clustering, time series forecasting)
- Experience with BI and visualization tools (Tableau, Power BI, Looker) and translating analytical findings into business narratives
- Exposure to experimentation and hypothesis testing (A/B testing, statistical significance)
What You Will Do at Cambia: - 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
- Optimize platform performance including query tuning, compute sizing, workload isolation, and cost management
- Partner with Analytics, Product, Governance, QA, and Business teams to deliver high-quality, observable, and trustworthy data and AI solutions
- Contribute to platform strategy, risk assessments, and adoption of modern practices (DataOps, CI/CD, AI tooling)
- Ensure data quality, testing, documentation, and knowledge sharing across the team
- Demonstrate technical leadership by breaking down complex work and delivering measurable value in squad/model environments
Pay ranges vary based on the candidate's work location. The expected hiring range depends on skills, experience, education, and training; relevant licensure / certifications; and performance history.
- National pay structure - applies to the Boise and Lewiston, ID; Salt Lake City, UT, Oregon and Washington. The full salary range is $115,000 - $188,000 and the bonus target is 15%. The expected salary range is $122,000 - $165,000/year.
- Regional pay structure - applies to North Dakota and Idaho and Utah locations outside the metro areas listed above: The full salary range is $103,000 - $169,000 and the bonus target is 15%. The expected salary range is $110,000 - $149,000/year.
