Senior Engineer – Semantic & Agentic Intelligence

Cambia Health Solutions

. Design, build, and own scalable dimensional models, semantic layers, and governed metric definitions .

Posted 10/23/2026full-timeUnited StatesSenior💰 $122,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and AI/ML Engineering with a focus on building scalable dimensional models and deploying AI agents in healthcare. Proficient in SQL, Snowflake, and data governance practices, ensuring high data quality and compliance.

Highest-signal resume keywords

Dimensional ModelingSQL Skills on SnowflakeAI Agent DeploymentData GovernanceLeadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dimensional ModelingSQLAI/ML EngineeringDataOpsELT/ETL Design PatternsRAG PipelinesPrompt EngineeringAgent OrchestrationCost OptimizationPerformance Tuning

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

Snowflake CortexAirflowAI-Agent Evaluation FrameworksObservability ToolsData Governance Tools

Industry Keywords

HealthcarePayer DataClaimsHL7FHIRICD-10CPTHCPCS

Tech Stack

Tools & technologies

AirflowCloudETLSQL

About the role

Key responsibilities & impact

Design, build, and own scalable dimensional models, semantic layers, and governed metric definitions
Develop and deploy AI agents for healthcare use cases including prior authorization, member support, care gaps, utilization analytics, and anomaly detection
Build LLM/agentic applications using RAG pipelines, vector search, prompt engineering, and agent orchestration
Leverage Snowflake Cortex or comparable tooling
Lead and mentor Data and AI Engineers
Drive engineering standards and best practices across the squad
Implement AI Ops practices, including evaluation frameworks, guardrails, observability, and cost/performance optimization
Optimize query performance, compute sizing, workload isolation, and cost management
Partner with Analytics, Product, Governance, QA, and Business teams
Contribute to platform strategy, risk assessments, DataOps, CI/CD, and modern AI-tool adoption
Ensure data quality, testing, documentation, and knowledge sharing
Break down complex work and deliver measurable value in squad/model environments

Requirements

What you’ll need

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, or sufficient healthcare-industry experience as a substitute
Experience with a supported business area is preferred, such as Provider Network, Claims, Membership, Digital Solutions, or Pricing
Deep expertise in dimensional modeling, including grain, bridge tables, many-to-many relationships, and slowly changing dimensions
Strong SQL skills on Snowflake or a comparable cloud data warehouse
Experience with dbt, ELT/ETL design patterns, and orchestration tools such as Airflow
Understanding of data governance, security, compliance, and enterprise platform ownership
Experience defining governed metrics in a semantic or metrics layer
Experience building and deploying semantic layers used directly by business users
Experience evaluating AI-generated answers and diagnosing semantic-layer root causes
Experience deploying and monitoring AI agents in a governed, regulated environment
Experience building LLM/agentic applications with RAG pipelines, embeddings/vector search, prompt engineering, tool/function calling, and agent orchestration frameworks
Experience with Snowflake Cortex or comparable native AI tooling
Experience with AI-agent evaluation frameworks, guardrails, observability, accuracy, hallucination detection, latency, and cost metrics
Familiarity with F1 scoring and related evaluation metrics
Experience with model/agent monitoring, cost optimization, and performance tuning
Working knowledge of payer data, including claims (837/835), eligibility, enrollment, and provider data
Familiarity with HL7/FHIR, ICD-10, and CPT/HCPCS
Background check required
Personal mobile device required for MFA
Wired internet connection required for work-from-home option, with minimum 5 Mb upload and 10 Mb download speeds

Benefits

Comp & perks

15% bonus target
Competitive salary
Generous benefits
Medical, dental and vision coverage for employees and eligible family members, including mental health benefits
Annual employer contribution to a health savings account
Generous paid time off
10 company-paid holidays
Market-leading 401(k) with company match
Potential discretionary 401(k) contribution based on company performance, with no vesting period
Up to 12 weeks of paid parental time off, subject to eligibility
Award-winning wellness programs that reward participation
Employee Assistance Fund
Commute and parking benefits
Work-from-home options for most roles
Employee resource groups
Cambia-supported outreach programs
Career growth opportunities