• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput • Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms • Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible • Partner closely with stakeholders across functions to understand the real constraints • Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable • Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations

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.

Role Description Gainwell Technologies seeks a forward-thinking Director of Artificial Intelligence (AI) to lead the design and implementation of AI solutions, with a focus on applying emerging technologies, such as Generative AI (GenAI), to enhance healthcare delivery and optimize operations. - Drive the development of AI-powered solutions, incorporating GenAI for applications like chatbots, documentation tools, and predictive analytics. - Collaborate with product and engineering teams to integrate AI and GenAI capabilities into Gainwell’s platforms, ensuring scalability and alignment with client needs. - Lead a team of AI engineers and data scientists, fostering a culture of innovation and continuous improvement. - Establish best practices for AI and GenAI deployment, ensuring compliance with regulatory and ethical standards. - Stay informed about advancements in AI, exploring opportunities to incorporate them into Gainwell’s offerings. Qualifications - Bachelor’s degree in Computer Science, AI, or a related field (Master’s preferred). - 10+ years of experience in AI/ML, with 3+ years working on GenAI or related technologies. - Experience integrating AI solutions in healthcare or government systems is a plus. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Video cameras must be used during all interviews, as well as during the initial week of orientation. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Variety of leadership and technical development academies to help build your skills and capabilities.