Senior Engineer – Semantic & Agentic Intelligence

Cambia Health Solutions; Salt Lake City (UT); Hybrid; USD 115,000 - 188,000; Full time

Benefits offered by this job

Hybrid work model

401(k) with company match

Bonus opportunities

Paid time off

Wellness programs

Employee Assistance Fund

Job summary

Cambia Health Solutions is seeking a Senior Data & Analytics Engineer to lead the semantic foundation, agentic AI capabilities, and governance across enterprise analytics. You will mentor engineers, set technical standards, and shape platform strategy in a hybrid Salt Lake City area role.

You will design scalable data models, deploy AI agents, and ensure observability, cost control, and data quality while collaborating across analytics, product, governance, and business teams.

Qualifications

• 6+ years of experience in Data Engineering, Semantic Modeling, or AI/ML Engineering, with senior or lead experience.
• College degree in Computer Science, Mathematics, Business Administration, or related field.
• A degree may be substituted by sufficient years of healthcare industry experience.
• Experience with a supported business area (Provider Network, Claims, Membership, Digital Solutions, Pricing) preferred.

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.
• Partner with Analytics, Product, Governance, QA, and Business teams to deliver high-quality data and AI solutions.
• Contribute to platform strategy, risk assessments, and adoption of modern practices (DataOps, CI/CD, AI tooling).
• Demonstrate technical leadership by breaking down complex work and delivering measurable value in squad/model environments.

Skills

Senior data engineering

SQL fundamentals

Dimensional modeling

Governed metrics

Consulting mindset

Education

Bachelors in CS/Math/Business or related field

Tools

Snowflake

dbt

Airflow

Job description

• Utilization analytics

Hybrid 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.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Who We Are Looking For

Every day, Cambia's Data & Analytics Engineering Team is living our mission to make health care easier and lives better.

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.

Qualifications

What You Bring to Cambia:

• 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.

About Cambia

Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.

Why Join the Cambia Team?

At Cambia, You Can

• Work alongside diverse teams building cutting-edge solutions to transform health care.
• Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
• Grow your career with a company committed to helping you succeed.
• Give back to your community by participating in Cambia-supported outreach programs.
• Connect with colleagues who share similar interests and backgrounds through our employee resource groups

We believe a career at Cambia is more than just a paycheck – and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.

Benefits

In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:

• Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
• Annual employer contribution to a health savings account.
• Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
• Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
• Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
• Award-winning wellness programs that reward you for participation.
• Employee Assistance Fund for those in need.
• Commute and parking benefits

Learn More About Our Benefits.

We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.

As part of our security requirements, new hires will need access to a personal mobile device to set up Multi-Factor Authentication (MFA) upon joining the company. MFA is an important layer of protection for accessing Cambia systems and is required for all employees.

We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.

If you need accommodation for any part of the application process because of a medical condition or disability, please email [e-mail].

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