AI Engineer (Healthcare / Hospital Systems)
Position: AI Engineer (Healthcare / Hospital Systems) Location: RemoteJob Type: W2 Overview: We are seeking an experienced AI Engineer to design, develop, and deploy AI and machine learning solutions that automate and optimize the pre-authorization process across hospital and payer systems.The ideal candidate will have strong technical expertise in AI/ML model development, data engineering, and clinical data processing, combined with a solid understanding of healthcare workflows, interoperability standards (FHIR, HL7, X12 278), and compliance requirements (HIPAA, CMS).This role is central to transforming how our health system handles medical necessity reviews—reducing administrative delays, improving provider experience, and accelerating patient access to care.Key Responsibilities: • Design and implement AI/ML models to predict medical necessity and automate authorization decisions. • Build and optimize data pipelines integrating multi-source healthcare data—claims, clinical notes, imaging, eligibility, and scheduling. • Apply NLP and deep learning to extract relevant data from unstructured clinical documents (e.g., progress notes, lab results, imaging reports). • Collaborate with Product Managers, clinicians, and payer partners to identify automation opportunities and validate model outputs. • Integrate AI services with EHR systems (Epic, Cerner) and payer APIs using FHIR, HL7, and X12 278 standards. • Develop and maintain scalable, secure infrastructure for model training, deployment, and monitoring. • Monitor model accuracy, bias, and drift, ensuring compliance with Responsible AI principles and healthcare regulations. • Contribute to documentation, testing, and continuous improvement of AI pipelines and automation workflows. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Biomedical Informatics, or related field. • 4+ years of hands-on experience in AI/ML engineering, preferably in healthcare or life sciences. • Strong proficiency in Python, TensorFlow, PyTorch, and SQL. • Experience with NLP, LLMs, and knowledge graph techniques for clinical text understanding. • Knowledge of FHIR, HL7, and X12 278 data exchange formats. • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker). • Strong understanding of data privacy, HIPAA compliance, and model explainability Preferred Qualifications: • Experience building AI tools integrated into EHR workflows (Epic, Cerner, Meditech). • Exposure to payer decision support systems such as InterQual or MCG. • Background in clinical informatics or healthcare interoperability engineering. • Familiarity with transformer-based LLMs (e.g., BERT, GPT, MedPaLM) and NLP-based reasoning models for medical text. • Strong communication skills to collaborate effectively within a team environment. Join us as we push the boundaries of artificial intelligence! Job Type: Contract Pay: $60.00 - $70.00 per hour Work Location: Remote