AI Engineer – LLMs for Health Impact

Excellus BCBS; City of Utica (NY); Hybrid; USD 65,000 - 142,000; Full time

Job summary

Excellus BCBS is seeking an AI Engineer to join a collaborative team developing ML/AI models aimed at improving member health outcomes. The role focuses on LLMs, generative AI, and advanced ML techniques within cloud platforms like Databricks.

Level I–III responsibilities include building scalable AI architectures, optimizing models, and mentoring teammates. Remote work opportunities may be available; strong emphasis on governance and data privacy.

Qualifications

• Bachelor's degree required; six (6) years of relevant experience in lieu of a degree.
• Basic understanding of ML concepts, algorithms, and statistics.

Responsibilities

• Develops AI/ML solutions to solve business problems and improve member outcomes, including LLMs and generative AI.
• Builds and refines data pipelines for feature engineering and ML model input.
• Collaborates with data engineering teams to prepare data for model training.
• Supports model evaluation, testing, and monitoring in pre-production environments.
• Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize models.
• Participates in CI/CD and ML Ops practices for deployment and monitoring.

Skills

ML concepts

NLP

Data pipelines

CI/CD

LLMs

Generative AI

Education

Bachelor's degree

Tools

Databricks

AWS SageMaker

Azure ML

Job description

Excellus BCBS is seeking an AI Engineer to join a collaborative team developing ML/AI models aimed at improving member health outcomes. The role focuses on LLMs, generative AI, and advanced ML techniques within cloud platforms like Databricks.

Level I–III responsibilities include building scalable AI architectures, optimizing models, and mentoring teammates. Remote work opportunities may be available; strong emphasis on governance and data privacy.