AI/ML Engineer

Our Ideal Candidate We are looking for a AI/ML Engineer who wants to leverage cutting-edge artificial intelligence including Generative AI, LLMs, and modern Agentic frameworksto fix a broken healthcare system.

The ideal candidate possesses a strong foundation in production machine learning, deep experience with cloud-native GenAI architectures (specifically on AWS), and a proven track record of working with sensitive healthcare data.

You thrive in a high-impact, collaborative environment where you will design and deploy scalable AI-driven solutions that automate complex billing workflows, detect fraud, extract insight from unstructured claims, and power our next generation of AI products.

This role is eligible for a hybrid or remote work arrangement.

Candidates located near the company office may be expected to work onsite up to 2 days per week.

Remote employees may be required to travel to an office location based on business needs.

This role reports to the Vice President of Artificial Intelligence.

Responsibilities Design, build, and orchestrate Machine Learning, GenAI, and Agentic AI applications leveraging foundational models (via AWS Bedrock, SageMaker) for automated billing, cost prediction, and document intelligence.Design and build production-grade, scalable Machine Learning (ML) pipelines integrating Optical Character Recognition (OCR), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and agentic decision-making workflows to process complex medical claims and unstructured data.Establish end-to-end MLOps standards, automated model testing, and robust CI/CD pipelines for automated build, test, and release cycles of both ML models and AI services.Define, provision, and maintain secure cloud environments for AI/ML services using Infrastructure as Code (IaC) tools such as AWS CDK or Terraform.Leverage modern AI-assisted development tools (such as GitHub Copilot or Kiro) to accelerate code generation, optimize Python queries, auto-generate documentation, and maintain high engineering standards.Develop APIs and microservices to enable seamless integration of ML/AI models into existing business applications.Collaborate with cross-functional teams (product, technology, operations, etc.) to align AI solutions with business goals.Implement techniques to improve transparency in AI decision-making, ensuring traceability and model explainability.Ensure compliance with healthcare data regulations (e.g., HIPAA, HITRUST, SOC 2, etc.).

Qualifications Bachelor's or Master's (preferred) degree in Computer Science, Data Science, Engineering, or a related quantitative field.5+ years of hands-on experience building, deploying, and maintaining production ML, GenAI, and Agentic solutions enterprise-wide for business applications.Deep practical knowledge of combining OCR engines (e.g., AWS Textract) with NLP, LLMs, VLMs, and AI foundational models to parse, structure, and query complex healthcare documents.Proven expertise within the AW...