Job Title: Prompt Engineering Specialist / ML Engineer II
Location: Remote Work
Employment Type: Contract
Client: Healthcare Domain (Medicare STARS Program)Role OverviewWe are seeking an experienced Prompt Engineering Specialist / ML Engineer II to support a Medicare STARS Data Science team in designing, optimizing, and managing AI prompts for advanced analytics and agentic workflows on the Snowflake platform. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering methodologies, Snowflake Cortex, and healthcare analytics.
This role will collaborate closely with Data Scientists, Business Stakeholders, and Analytics teams to develop AI-powered solutions that improve member engagement, intervention identification, score tracking, and operational efficiency within Medicare STARS programs.
Key Responsibilities- Design, develop, and optimize prompts for LLM-powered workflows within Snowflake Cortex and agentic AI platforms.
- Collaborate with Data Science, Analytics, and Business teams to translate Medicare STARS use cases into effective AI-driven solutions.
- Build and maintain prompt pipelines supporting:
- Proactive member insights
- Intervention recommendations
- Risk and gap identification
- Medicare STARS score tracking and reporting
- Evaluate prompt performance and continuously improve output quality, accuracy, consistency, and reliability.
- Develop reusable prompt libraries, templates, and governance standards.
- Implement advanced prompt engineering techniques including:
- Chain-of-Thought (CoT)
- Few-shot prompting
- Role-based prompting
- Retrieval-augmented workflows
- Work with structured and unstructured healthcare data using SQL and Python.
- Partner with stakeholders to validate AI-generated outputs and business outcomes.
- Document prompt engineering best practices and operational procedures.
Required Skills- 7+ years of experience in AI/ML, Data Science, Analytics, or Prompt Engineering.
- Hands-on experience with Prompt Engineering for Large Language Models.
- Strong experience with:
- GPT
- Claude
- Gemini or similar LLM platforms
- Experience with Snowflake Cortex and AI-enabled Snowflake capabilities.
- Knowledge of prompt design frameworks and optimization strategies.
- Experience implementing Chain-of-Thought (CoT) prompting techniques.
- Strong understanding of LLM behavior, evaluation, and tuning methodologies.
Proficiency in:- Python
- SQL
- Experience building AI-driven analytics solutions.
- Strong communication and stakeholder collaboration skills.
- Preferred Qualifications
- Healthcare domain experience.
- Experience supporting Medicare STARS, Quality Programs, Population Health, or Care Management initiatives.
- Knowledge of healthcare analytics, member engagement, and intervention workflows.
- Familiarity with agentic AI architectures and autonomous workflow orchestration.
- Experience with RAG (Retrieval-Augmented Generation) frameworks.
- Exposure to MLOps and AI governance practices.
Must-Have Skills- Prompt Engineering
- Snowflake Cortex
- Large Language Models (LLMs)
- GPT
- Prompt Design
- Chain-of-Thought (CoT)
- Healthcare Domain Knowledge
- Nice-to-Have Skills
- Medicare STARS
- Agentic AI Platforms
- Claude
- Gemini
- RAG Frameworks
- Python
- SQL
- Healthcare Analytics