Job Summary

This position is responsible for the engineering work necessary for successful creation, deployment and managing of AI capabilities of the Intelligent Delivery Platform. This includes
- ensuring data quality,
- creation of new data pipelines,
- optimization and management of existing data pipelines,
- ingestion and curation of data sources for Gen AI purposes (including chunking/embedding strategies for RAG system),
- AI Agent delivery,
- Prompt Engineering,
- selection and configuration of AI-specific tools and platforms
- management and monitoring of AI models through MLOps tools and model ops practices.

To operationalize AI capabilities, they will work closely with larger team who will supplement where traditional application development support is needed.

NOTE:  This is a WFH role. Sponsorship is NOT available.

Required Job Qualifications:

• Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master’s degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field"
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Must demonstrate proficiency in at least five and mastery in one of the following six areas: data analysis and relational-style query languages; data pipelining and ETL; working with semi structured and unstructured data; a high- level programming language; distributed computing; understanding of healthcare.
• Proficiency in iterative development practices.
• Independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.
• A track record of independently delivering or leading the delivery of ML engineering capabilities.
• Experience in Python-based Data Science frameworks (LangChain, LangGraph, LangFuse).
• Experience in Model evaluation and deployment.
• Experience in data curation, prep, training, and fine-tuning of Models.
• Experience in evaluation frameworks
• Experience in prompt engineering
• Experience in working with multiple Models

Preferred Job Qualifications:

• Master degree in a computational field, or Bachelor degree with significant healthcare experience
• Understanding PySpark / Databricks to efficiently work with large data sets
• Azure Cloud Infrastructure / Deployment with emphasis on AI related tooling, Azure ML, Azure OpenAI, etc.
• Experience in Observability Frameworks and Framework Operationalization.
• Experience in creation of knowledge graph database (neo4J)
• Experience in working with Small Language Models or custom Models

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Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees.  Learn more about our benefit offerings by visiting .

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.

Base Pay Range
$121,200.00 - $225,200.00

Exact compensation may vary based on skills, experience, and location.