Lead AI Insights Engineer

Agilon Health • Remote - OH, OH

2d • $129,700 - $162,100 • Remote

About The Position

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. 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 clinical, business, and technical requirements, and communicate the impact that AI products create at agilon. Only candidates with healthcare experience will be considered. Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Requirements

• At least 7 years of experience in a related field, including Analytics, Data Science, or Data Engineering.
• At least 3 years of experience in a healthcare setting.
• Bachelor’s and/or master’s degree in a quantitative field, such as Computer Science, Data Science, or Mathematics.
• Strong SQL skills and experience; Snowflake and dbt are preferred.
• Experience with data visualization tools; Sigma is preferred.
• Advanced knowledge of at least one programming language outside of SQL; Python is preferred.
• Experience with cloud data engineering and AI infrastructure tools, such as Snowflake Cortex, dbt, AWS SageMaker, or Bedrock.
• Experience with AI-enabled development practices and tools, such as Claude Code and Cursor, including MCP server development and context engineering best practices.
• Deep knowledge of healthcare data sources and common analytical methods, including FHIR sources, claims, pharmacy, and lab data.
• Understanding of U.S. value-based care concepts, 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.
• Legally authorized to work in the United States without employer sponsorship, now or in the future.

Nice To Haves

• Healthcare experience, preferably in value-based care.
• Experience with Snowflake and dbt.
• Experience with Sigma.
• Python proficiency.

Responsibilities

• 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 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 AI products in a fast-paced, agile environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior