Pay Range: $55hr - $60hr
- Responsible for supporting the Medicare STARS data science team by designing, optimizing, and managing AI prompts for analytics and agentic workflows on the Snowflake platform.
- The role involves developing prompt pipelines, improving AI-generated outputs, and collaborating with technical and business teams to support healthcare analytics initiatives.
Requirement/Must Have:
- Hands-on experience working with Large Language Models (LLMs) such as GPT, Claude, or similar platforms.
- Strong understanding of prompt engineering techniques and design patterns.
- Experience with chain-of-thought prompting methodologies.
- Familiarity with Snowflake Cortex or similar AI/ML platforms.
- Strong analytical and problem-solving skills.
- Experience collaborating with data science and business teams.
- Knowledge of Python or SQL for data interaction and workflow support.
- Strong documentation and communication skills.
Experience:
- Experience designing and optimizing prompts for AI and analytics workflows.
- Experience building and testing prompt pipelines.
- Experience working with AI-generated outputs and performance optimization.
- Healthcare domain experience preferred.
- Medicare STARS knowledge preferred.
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.
- Continuously iterate on prompt performance to improve accuracy and reliability of AI-generated outputs.
- Document prompt libraries, workflows, and best practices for team-wide reuse.
- Support AI and analytics initiatives through prompt engineering and workflow optimization.
Should Have:
- Experience with Snowflake Cortex or related AI/ML platforms.
- Healthcare analytics or Medicare STARS domain knowledge.
- Experience supporting AI-driven analytics workflows.
- Familiarity with enterprise AI governance and prompt management practices.
Skills:
- Prompt engineering.
- Large Language Models (LLMs).
- GPT and Claude platforms.
- Chain-of-thought prompting.
- Snowflake Cortex.
- Python and SQL.
- AI workflow optimization.
- Healthcare analytics.
- Documentation and collaboration.
Qualification And Education:
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field preferred.
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.