Senior Principal, AI Engineer , MA,

Summary

Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), Machine Learning and Natural Language Processing, across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

• Delivery Lead for AI Delivery – Responsible for leading a cross functional team including analytics, engineering, product, AI platform as well as business and IT stakeholders to drive AI solution delivery.
• AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
• End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration – Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration.
• Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
• AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

• Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field.
• 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP,