Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary 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. Your role in our mission - 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. What we're looking for - 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. What you should expect in this role - 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 April 21, 2026. #LI-GD1 #LI-REMOTE 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. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. - Designs, develops, and implements complex enterprise AI software solutions using Copilot Studio and other enterprise platforms. - Collaborates closely with technical and non-technical roles such as data modelers, architects, business analysts, data stewards, and subject matter experts (SMEs). - Provides design, technical analysis, development/configuration, testing, implementation, and support expertise. - Leads projects focused on delivering AI solutions from end-to-end. - Ensures that multiple products and services work together to meet business needs and add value for the customer. - Cultivates and disseminates knowledge of application-usage best practices. - Collaborates with Enterprise Architecture on the delivery of data and application architecture. - Collaborates with relevant operational and build teams to construct testing and implementation strategies. - Informs on product and services delivery progress in relation to application delivery. - Oversees tier 3 application support activities including the assessment and execution of application upgrades and patches. - Participates in mitigation and control activities as well as identifying and evaluating risks. - Manages people and technology changes; ensuring necessary stakeholders are informed. - Facilitates people management and resourcing; defining roles and responsibilities, staff reviews/appraisals, recruitment/dismissals, and staff training. - Serves as technical adviser to management and provides software engineering perspective on system requirements. - Creates conceptual and detailed technical design documents. - Performs other duties as assigned. - Complies with all policies and standards. Qualifications - A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). - 5 – 7 years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Requirements - One or more of the following skills are desired: AI, Copilot Studio, Power Platform, M365. Benefits - Competitive pay - Health insurance - 401K and stock purchase plans - Tuition reimbursement - Paid time off plus holidays - Flexible approach to work with remote, hybrid, field or office work schedules

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Director of Artificial Intelligence will lead the internal AI team to design, develop, and deploy cutting-edge AI solutions that drive business transformation and operational efficiency. This role requires strategic vision, technical expertise, and leadership skills to align AI initiatives with organizational goals and ensure ethical and responsible AI practices. - Develop and execute the AI strategy aligned with organizational objectives. - Lead and mentor the internal AI team, fostering innovation and collaboration. - Oversee the design, development, and deployment of AI models and solutions. - Ensure compliance with ethical AI standards and data governance policies. - Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions. - Monitor AI trends and emerging technologies to maintain competitive advantage. - Manage budgets, resources, and timelines for AI projects. - Present AI initiatives and outcomes to executive leadership and stakeholders. Qualifications - 5+ years of experience in AI/ML development and deployment. - 2+ years in a leadership role managing AI teams and projects. - Proven track record of delivering AI solutions that drive business impact. - Experience in enterprise-level AI strategy and implementation. - Advanced degree (Master's or Ph.D.) in Computer Science, AI, Data Science, or related field. Requirements - Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and advanced generative AI techniques. - Proficiency in OpenAI APIs (ChatGPT, GPT models) and Gemini (Google AI) for building conversational AI, multimodal solutions, and enterprise integrations. - Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. - Experience with prompt engineering, fine-tuning large language models (LLMs), and leveraging embeddings for semantic search. - Familiarity with cloud-based AI platforms (Google Vertex AI, Azure AI, AWS SageMaker) and MLOps practices for deployment and monitoring. - Advanced proficiency in Python and experience with RESTful API development for integrating OpenAI and Gemini services. - Expertise in building scalable AI microservices and orchestration using containerization (Docker, Kubernetes). - Strong understanding of software engineering best practices, version control (Git), and CI/CD pipelines. - Knowledge of data preprocessing, feature engineering, and data quality assurance for LLM training and inference. - Understanding of data privacy regulations (GDPR, CCPA) and ethical AI principles. - Ability to implement robust data governance and security frameworks for sensitive enterprise data. - Proven ability to lead cross-functional teams and manage large-scale AI programs leveraging OpenAI and Gemini capabilities. - Strategic thinking to align AI initiatives with business objectives and ROI. - Strong decision-making skills under uncertainty and ability to prioritize competing demands. - Exceptional analytical skills to interpret complex datasets and derive actionable insights. - Ability to troubleshoot AI models, optimize performance, and ensure cost-efficient API usage. - Excellent verbal and written communication skills for presenting technical concepts to non-technical audiences. - Ability to influence senior leadership and drive organizational buy-in for AI initiatives. Benefits - Health, dental, and vision insurance. - Retirement savings plan with company match. - Paid time off and holidays. - Professional development opportunities. - Performance-based bonus based on position. Pay Range USD $142,200.00 - USD $242,000.00 /Yr.

• Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights • Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK, LangChain, LangGraph) to enable autonomous reasoning, planning, and execution • Integrate state-of-the-art Large Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making • Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time • Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics • Ensure secure, scalable integrations across cloud and enterprise environments • Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness • Deploy and operate AI systems in production using modern DevOps practices (containerization, orchestration, CI/CD)