Senior AI Engineer

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in MA
Remote
115K-141K Annually
Senior level
Healthtech
The Role
As a Senior AI Engineer at agilon health, you will develop production-grade AI products, focusing on operational optimization models and clinical risk models. Responsibilities include creating data models, implementing machine learning models, building dashboards, and collaborating with various teams to achieve real-world outcomes in healthcare.
Summary Generated by Built In

Company:AHI agilon health, inc.

Job Posting Location:Remote - USA

Job Title:Senior AI Engineer

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:Remote - MAPay Range:$115,100.00 - $140,900.00

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.

Top Skills

Python
SQL
The Company
HQ: Austin, TX
556 Employees
On-site Workplace
Year Founded: 2016

What We Do

agilon health is transforming health care for seniors by empowering primary-care physicians to focus on the entire health of their patients. Through our platform and partnership model, agilon health is leading the nation in creating the system we need – one built on the value of care, not the volume of fees. We honor the independence of local physicians and serve as their long-term partner so they can be the physicians they trained to be.

agilon is built for physicians by physicians, as the patient-physician relationship is the cornerstone of care. We allow primary care physicians to take the long view of their relationships with patients, and to be confident in the long-term financial viability of their own practices. We do this through a Total Care Model that maintains the independence of physicians; unites them in a network of like-minded leaders; and integrates all of the components of a global risk business model into a single platform.

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