Senior AI Engineer

Company:

Job Posting Location:

Job Title: ​

Job Description: ​

Position Summary:

As an AI Engineer at agilon health, you will deliver production-grade AI products within agilon’s Tech Group. Key areas of development include operational optimization models, unstructured data processing, clinical suspect identification, and clinical risk models. In this role, you will support the development of the predictive models, the production data pipelines to deploy them, and the analytics and dashboards needed to monitor their success in the organization. You will work closely with stakeholders across the organization to understand the business needs and technical requirements and be responsible for the impact that AI products provide at agilon.

Essential Job Functions:

• Create production-grade data models and pipelines to support AI products.
• Develop and implement machine learning models using structured and unstructured healthcare data.
• Build dashboards and analytical outputs to monitor AI product impact.
• Collaborate with Insights Engineering, Clinical Analytics, and Centralized Operations teams to drive real-world outcomes.
• Contribute to the development of our AI products in a fast-paced, agile environment.

Required Qualifications:

Minimum Experience

• 5+ Years of experience in a related field, including Analytics, Data Science, or Data Engineering.

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). 
• Proficiency in Python programming and familiarity with ML libraries and practices (e.g., scikit-learn, pandas).
• Experience with cloud data engineering and ML infrastructure tools, such as Airflow, dbt, AWS Sagemaker, etc.
• Good knowledge of statistical analysis and predictive modeling techniques.
• Intellectual curiosity and a passion for using data to solve real-world problems.
• Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.
• Enthusiasm for learning and adapting in a dynamic startup environment.

Essential Physical Functions: N/A

Location: ​

Pay Range: ​

Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.