AI Architect — HealthTech Billing Solutions

Clarify AI; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Clarify AI is seeking an experienced AI Architect to design and build scalable AI/ML infrastructure for healthtech billing solutions. You’ll lead end-to-end data pipelines, model lifecycle management, and deployment, with emphasis on explainability, fairness, and regulatory compliance in a healthcare setting.

The role requires collaboration across data science, software, and product teams to deliver impactful AI-powered solutions and stay ahead of evolving healthcare AI technologies.

Qualifications

• 5+ years of experience designing and deploying AI/ML systems at scale.
• Strong foundation in machine learning, NLP, and modern AI system architecture.
• Hands-on experience with healthcare data (claims, medical coding, EHRs, etc.).
• Experience with cloud platforms and MLOps tools.
• Familiarity with healthcare billing standards (CPT, ICD-10, UB-04).
• Experience with large language models and retrieval-augmented generation (RAG).
• Background in explainable and ethical AI development.

Responsibilities

• Architect scalable AI/ML systems for real-time and batch processing of healthcare billing data.
• Design end-to-end data pipelines for structured and unstructured sources.
• Own the ML model lifecycle—from training to deployment and monitoring.
• Collaborate with data scientists, engineers, and product managers to deliver AI-powered solutions.
• Drive model explainability, fairness, and compliance with healthcare regulations.
• Evaluate third-party AI tools and APIs when beneficial to impact.
• Stay ahead of healthcare AI technologies and advise on strategic implementation.

Skills

Machine learning

NLP

AI system architecture

Healthcare data

Cross-functional collaboration

Explainability & fairness

Regulatory compliance awareness

Tools

MLflow

Kubeflow

Vertex AI

TensorFlow

PyTorch

Hugging Face

AWS

GCP

Azure

Job description

AI Architect — HealthTech Billing Solutions

AI & Engineering Remote — U.S. Full Time

Job Description

Clarify AI is looking for an experienced AI Architect to lead the design and development of our end-to-end AI and machine learning infrastructure. In this role, you'll build scalable, secure systems that power our healthcare billing solutions—from ingesting complex data to deploying explainable, production-grade models. You'll work at the intersection of AI, healthcare, and real-world impact.

• Architect scalable AI/ML systems for both real-time and batch processing of healthcare billing data (e.g., claims, EOBs, medical codes).
• Design end-to-end data pipelines for structured and unstructured sources (e.g., PDFs, HL7, FHIR), from ingestion through feature engineering.
• Own the ML model lifecycle—from training and validation to deployment, monitoring, and re-training.
• Collaborate cross-functionally with data scientists, software engineers, and product managers to translate business needs into AI-powered solutions.
• Drive model explainability and fairness, ensuring compliance with healthcare regulations and building user trust.
• Ensure compliance with HIPAA, GDPR, and other privacy/security standards for handling sensitive health data.
• Evaluate and integrate third-party AI tools, including LLMs and APIs, when they can accelerate impact.
• Stay ahead of emerging technologies relevant to healthcare AI, and advise on strategic implementation.

Qualifications & Skills

• 5+ years of experience designing and deploying AI/ML systems at scale.
• Strong foundation in machine learning, NLP, and modern AI system architecture.
• Hands-on experience with healthcare data (claims, medical coding, EHRs, etc.).
• Expertise in cloud platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, Kubeflow, Vertex AI, etc.).
• Proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Hugging Face).
• Familiarity with healthcare billing standards (CPT, ICD-10, UB-04).
• Experience with large language models and retrieval-augmented generation (RAG) pipelines.
• Background in explainable and ethical AI development.
• Experience in fast-paced, startup-like environments with cross-functional collaboration.

Location & Work Authorization

This is a U.S.-based role. Candidates must be located in the United States and authorized to work in the U.S. without current or future employment sponsorship.