Artificial Intelligence (AI), Best Practices, Data Science, Design Patterns Programming Methodologies, Healthcare, Medicare, Performance Management, Python Programming/Scripting Language, SQL (Structured Query Language), Testing, Use Cases, Workflow Analysis
Location : Connecticut
Job Description :The Prompt Engineering Specialist will support the Medicare STARS data science team in designing, optimizing, and managing AI prompts for analytics and agentic workflows on the Snowflake platform.
Key Responsibilities:
- Design and optimize prompts for LLM-based workflows within Snowflake's agentic DTI platform.
- Collaborate with data science and business teams to translate Medicare STARS use cases into effective AI prompts.
- Build and test prompt pipelines for proactive member insights, intervention flagging, and score tracking.
- Iterate on prompt performance to improve the accuracy and reliability of AI-generated outputs.
- Document prompt libraries and best practices for reuse across the team.
Required Skills:
- Hands-on experience with LLMs (GPT, Claude, or similar).
- Strong understanding of prompt design patterns and chain-of-thought techniques.
- Familiarity with Snowflake Cortex or similar AI/ML platforms.
- Healthcare domain knowledge (Medicare STARS experience is a plus).
- Python or SQL for data interaction.