The Lead AI Insights Engineer will develop and deploy AI solutions in healthcare, focusing on unstructured data processing and clinical outcomes, collaborating across teams.
Company:AHI agilon health, inc.Job Posting Location:Remote - USAJob Title: Lead AI Insights EngineerJob Description:
Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.
As an AI Insights Engineer at agilon health, you will deliver production-grade AI products within agilon’s Tech Group. Key areas of development include unstructured data processing, clinical suspect identification, and clinical risk models. In this role, you will develop and deploy clinically appropriate AI products using LLMs, NLP, and ML tools. You will work closely with stakeholders across the organization to understand the clinical, business, and technical requirements, and be responsible for communicating the impact that AI products create at agilon.
*Only candidates with healthcare experience will be considered.
Essential Job Functions:
- Leverage LLM tools to drive early disease identification and clinical recommendations through agilon’s unstructured clinical data, including notes and images.
- Create production-grade AI products, including the supporting data pipelines, monitoring, and performance analysis.
- Communicate the value and opportunities of AI to internal stakeholders.
- Collaborate with Market Operations, Insights Engineering, and Clinical teams to drive real-world outcomes.
- Contribute to the development of our AI products in a fast-paced, agile environment.
Required Qualifications:
Minimum Experience
- 7+ Years of experience in a related field, including Analytics, Data Science, or Data Engineering.
- 3+ Years in a healthcare setting, preferably value-based care.
Education/Licensure
- Bachelor’s and/or master’s in a quantitative field, such as Computer Science, Data Science, or Mathematics.
Knowledge, Skills, and Abilities:
- Strong SQL skills and experience (prefer Snowflake + dbt) with data visualization tools (prefer Sigma).
- Advanced knowledge of at least one programming language outside of SQL (prefer python).
- Experience with cloud data engineering and AI infrastructure tools, such as Snowflake Cortex, dbt, AWS Sagemaker/Bedrock, etc.
- Experience with AI-enabled development practices and tools (Claude Code, Cursor, etc.), including MCP server development and context engineering best practices.
- Deep knowledge of data sources and common analytical methods in healthcare, including FHIR sources, claims, pharmacy, and lab data.
- Understanding of value-based care concepts in the US, including Medicare payment models, medical margin, and quality of care.
- Intellectual curiosity and a passion for using data to solve real-world problems at scale.
- Excellent communication skills and the ability to proactively explain complex concepts to non-technical stakeholders.
- Enthusiasm for learning and adapting in a dynamic environment.
Protect yourself: agilon health will never send unsolicited job offers or request payments or financial information. Such communications are fraudulent. Learn how to spot them
Location: Remote - OHPay Range: $129,700.00 - $162,100.00Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.
Similar Jobs
AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
The Director of Growth Marketing role is focused on driving growth initiatives within OpenX’s digital advertising business. The description provides company values, benefits, compensation context, and equal employment information, but does not specify detailed responsibilities, qualifications, required technologies, travel, or clearance requirements.
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Leads multidisciplinary teams developing rugged custom electronics for electronic combat systems. Responsibilities include architecting hardware strategies, directing design reviews, mentoring engineers, coordinating with procurement and program management, defining hardware baselines, estimating technical effort, and guiding designs from requirements through PCB development, verification, and environmental qualification.
Top Skills:
Cost Account Management (Cam)Digital/Mixed-Signal Circuit DesignEarned Value Management (Evm)Embedded ProcessorsEnvironmental QualificationFpgaHigh-Speed Serial InterfacesPcb LayoutSchematic Capture
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Leads development of electrical and microwave hardware test stations and strategies. Manages schedules, budgets, staffing, subcontractors, suppliers, and multidisciplinary test teams as Cost Account Manager. Directs testing, troubleshooting, production support, yield improvement, and sustainment for electronic warfare product lines. Collaborates with manufacturing and quality teams to resolve technical issues, assess design updates, and improve product affordability and reliability.
Top Skills:
Digital ProductsElectrical EngineeringElectronic Warfare SystemsHardware Test StationsRf/Microwave CircuitsTest Data AnalysisTest Plans
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
