AI Engineer - Healthcare

Role Overview
We are seeking an AI Engineer with strong experience in AI/ML, Python development, and a working understanding of healthcare EDI platforms, including Edifecs. The ideal candidate will build AI-driven solutions to automate and optimize healthcare data integration, EDI processing, and validation workflows while leveraging Azure-based services.
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions to automate healthcare integration and data processing workflows.
Build AI-powered applications using Python, LLMs, and intelligent automation frameworks.
Integrate AI solutions with healthcare EDI systems, understanding X12 transaction processing, validation, mapping, and error handling.
Work with Edifecs and healthcare EDI workflows involving transactions such as 834, 837, 835, 270/271, and 276/277.
Develop and deploy AI applications and integration services using Microsoft Azure.
Collaborate with healthcare integration teams to improve data quality, exception handling, and operational efficiency.
Required Skills
AI/ML : Strong hands-on experience in AI engineering, Generative AI, LLMs, AI agents, and intelligent automation.
Python : Strong Python programming, API development, data processing, and AI application development.
Healthcare EDI/X12 : Understanding of HIPAA X12 transactions, healthcare data integration, and EDI platforms such as Edifecs.
Azure : Experience with Azure AI services and cloud-based application deployment and integration.
Preferred Qualifications
Experience working with healthcare payer or provider systems and HIPAA-compliant data workflows.
Exposure to Edifecs, EDI mapping, X12 validation, and transaction processing.
Experience integrating AI solutions with APIs, enterprise applications, and existing healthcare platforms.
Understanding of healthcare data privacy and security requirements

Skills
Python, Azure, Generative AI

Work arrangement
Yes