Role Description Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), 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. - 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-premise 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. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Qualifications - Advanced Education: Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field. - Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision. - Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. - Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). - Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. - The deadline to submit applications for this posting is June 21, 2026. Benefits - The pay range for this position is $147,200.00 - $210,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - A variety of leadership and technical development academies to help build your skills and capabilities.

Role Description 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. Qualifications - 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, deep learning, and computer vision. - Experiences in developing, deploying, and finetuning LLMs (GPT, Gemini, Claude or similar) for real-world applications including prompt engineering, model optimization, and inference efficiency is a plus. - Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. - Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). - Strong problem-solving abilities with a plus for experience in healthcare AI, healthcare data (such as claims and medical records), and understanding of regulatory standards like HIPAA and CMS. - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. - The deadline to submit applications for this posting is June 10, 2026. - The pay range for this position is $184,000.00 - $262,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - A variety of leadership and technical development academies to help build your skills and capabilities.

Role Description Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), 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. - 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-premise 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. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Qualifications - 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, deep learning, and computer vision. - Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. - Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). - Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. - The deadline to submit applications for this posting is June 21, 2026. Benefits - Pay range for this position is $147,200.00 - $210,300.00 per year. - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Leadership and technical development academies to help build your skills and capabilities.

• Implement our enterprise AI vision by architecting Generative AI and Agentic AI solutions • Architect AI Agents that use Tools and Skills including instantiation of MCP clients and servers • Architect scalable end-to-end Retrieval-Augmented Generation (RAG) pipelines, including data ingestion and document processing • Increase model serving layers and high-throughput data processing pipelines • Design and implement secure system architectures for all new AI products • Understand how to use Terraform for provisioning and manage Azure infrastructure-as-code.