AI Engineer: LLMs, Generative AI & Health Outcomes

Capital District Physicians Health Plan Inc; City of Albany (NY); On-site; USD 79,000 - 142,000; Full time

Job summary

Capital District Physicians Health Plan Inc is seeking an AI Engineer to join a collaborative team delivering ML/AI solutions that improve member health outcomes. You will work on ML models, NLP, and generative AI, leveraging modern platforms and data pipelines.

You'll translate business needs into AI/ML initiatives, contribute to model deployment pipelines, and mentor teammates while staying current with industry advances in AI/ML and responsible governance.

Qualifications

• Bachelor's degree required; six years of relevant experience in lieu.
• Experience developing AI/ML solutions for real-world applications.
• Experience with databases, SQL, and data manipulation.
• Familiarity with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, Azure ML).
• Experience with large language models (LLMs) and generative AI technologies.
• Ability to present clear and concise technical concepts to stakeholders.

Responsibilities

• Develops AI/ML solutions to solve business problems and improve member health outcomes, including LLMs and NLP.
• Builds data pipelines for feature engineering and model input.
• Collaborates with data engineering to prepare data for training.
• Supports model evaluation, testing, and monitoring in pre-production.
• Works with CI/CD and ML Ops for deployment and monitoring.
• Keeps pace with AI/ML industry trends and practices.

Skills

ML model dev

Cloud ML platforms

LLMs & Generative AI

CI/CD ML Ops

Technical communication

Data pipelines

SQL basics

NLP basics

Education

Bachelor's degree

Job description

Capital District Physicians Health Plan Inc is seeking an AI Engineer to join a collaborative team delivering ML/AI solutions that improve member health outcomes. You will work on ML models, NLP, and generative AI, leveraging modern platforms and data pipelines.

You'll translate business needs into AI/ML initiatives, contribute to model deployment pipelines, and mentor teammates while staying current with industry advances in AI/ML and responsible governance.