AI Engineer

• Lead design, development, and deployment of AI/ML solutions across the enterprise
• Collaborate with business, operations, and technology teams to define AI use cases and align delivery timelines
• Partner with internal teams and third-party vendors to develop efficient, compliant, and scalable AI systems
• Lead rapid prototyping efforts to demonstrate value and inform broader adoption
• Research, design, and implement machine learning models (supervised, unsupervised, reinforcement learning), including deep learning and NLP
• Conduct data preparation, cleansing, and feature engineering
• Train, validate, and fine-tune models to optimize performance and accuracy
• Build reusable, production-ready pipelines for AI model deployment using MLOps best practices
• Integrate AI/ML capabilities into existing products and platforms with application development teams
• Design and implement testing and evaluation frameworks for model validation; monitor and maintain deployed models
• Ensure AI systems are secure and compliant with regulatory standards (e.g., HITRUST, SOC 2, HIPAA)
• Support transition of business processes to AI-driven solutions with documentation, training, and retrospectives
• Work remotely from home using standard office equipment as required

AI Developer, Healthcare

Senior AI Engineer

AI Engineer Intern, Summer 2026

Product Manager – Conversational AI Platform

Senior AI Engineer, AI Services

AI Engineer, AI Services