AI Application Architect

Hello, Good morning, We OpenKyber are a growing IT services organization delivering scalable technology solutions and are expanding our team with qualified talent. We have Immediate opening for a Senior AI Engineer Healthcare Domain with strong hands-on experience to support a long-term engagement with our client. Must be able to work collaboratively with cross-functional teams to deliver high-quality solutions.

Job Title: Senior AI Engineer Healthcare Domain
Location: 100% Remote
Duration: Long Term
Experience: 10+ Years (5+ Years in AI/ML, 3+ Years in Healthcare Domain)

Role Overview

We are seeking a highly experienced Senior AI Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Healthcare data ecosystems. The ideal candidate will design, develop, and deploy AI-driven solutions leveraging clinical, claims, and interoperability data to improve patient outcomes, operational efficiency, and regulatory compliance. This role requires strong hands-on technical expertise combined with healthcare domain knowledge including EMR/EHR systems, CMS regulations, interoperability standards, and HIPAA compliance.

Key Responsibilities

• Design and implement scalable AI/ML solutions for healthcare use cases such as risk prediction, readmission prediction, fraud detection, prior authorization automation, and clinical decision support.
• Develop and deploy ML models using Python, TensorFlow, PyTorch, and Azure/AWS AI services.
• Work with healthcare data standards including HL7, FHIR, X12, and clinical terminologies (ICD-10, CPT, SNOMED).
• Build NLP solutions for unstructured clinical notes using LLMs and transformer models.
• Develop GenAI-based solutions using Azure OpenAI / OpenAI APIs for use cases like clinical summarization, chatbot assistants, and document intelligence.
• Architect MLOps pipelines for model training, validation, monitoring, and retraining.
• Ensure HIPAA compliance, PHI handling, and secure data governance practices.
• Collaborate with product owners, healthcare SMEs, and compliance teams.
• Lead AI strategy discussions and mentor junior AI/ML engineers.

Required Qualifications

• 10+ years of overall IT experience with 5+ years in AI/ML engineering.
• Strong healthcare domain experience (Payers, Providers, PBM, or HealthTech platforms).
• Expertise in: Python (NumPy, Pandas, Scikit-learn), TensorFlow / PyTorch, NLP, LLMs, RAG architectures, Prompt engineering & AI evaluation frameworks.
• Experience with cloud platforms: Azure (Azure ML, Databricks, OpenAI, Data Lake) OR AWS (SageMaker, Comprehend, Bedrock).
• Experience with Healthcare interoperability standards: HL7, FHIR, X12 EDI transactions (837, 835, 278).
• Strong SQL and healthcare data modeling skills.
• Experience handling PHI data and ensuring HIPAA compliance.
• Knowledge of CMS interoperability mandates and value-based care models.

For applications and inquiries, contact: hirings@openkyber.com