Generative AI Engineer (Healthcare ) -W2 only

We are seeking a Generative AI Engineer to support healthcare payer data initiatives, with a strong focus on ETL/SSIS workflows, cloud modernization, and AI-driven automation. The ideal candidate will work across data engineering and AI teams to design scalable solutions that enhance payer analytics, streamline data operations, and support next-generation GenAI use cases.

Key Responsibilities

• Develop and integrate Generative AI and LLM-based solutions for healthcare payer data (claims, eligibility, enrollment, payments, utilization, etc.).

• Support and modernize existing ETL/SSIS workflows, migrating or integrating them into Azure Cloud environments.

• Build and optimize data pipelines to support AI/ML models, including ingestion, transformation, and feature engineering.

• Implement Azure-based services such as Azure Data Factory, Azure SQL, Azure Databricks, Azure Functions, and related tools.

• Apply RAG, NLP, and other AI techniques to support payer workflows such as claims analysis, summarization, prior authorization automation, and knowledge extraction.

• Ensure compliance with HIPAA, PHI, and healthcare data governance standards.

• Collaborate with cross-functional teams including data engineers, analysts, product owners, and business users.

• Prepare documentation, conduct model monitoring, and contribute to continuous improvement of AI solutions.

• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Data Science, or related field.

• Hands on experience in AI/ML development, including hands-on work with LLMs or generative AI frameworks.

• Strong experience with ETL processes, SSIS, and SQL-based data manipulation.

• Hands-on experience with Azure Cloud services (ADF, Azure SQL, Azure Storage, Databricks, Functions, etc.).

• Solid understanding of healthcare payer data, including claims (837/835), eligibility, benefits, or utilization management.

• Strong Python skills and familiarity with ML/AI libraries (Transformers, LangChain, Hugging Face, PyTorch, or TensorFlow).

• Working knowledge of data privacy, compliance, and security standards in healthcare.

• Experience with vector databases, RAG pipelines, prompt engineering, and LLM fine-tuning.

• Experience migrating SSIS or on-prem ETL workloads to Azure.

• Knowledge of interoperability standards such as FHIR, HL7, X12.

• Familiarity with DevOps/MLOps tools (GitHub Actions, Azure DevOps, MLflow, Databricks).
  
  Hexplora is an equal opportunity employer that is committed to diversity and inclusion in the workplace.