Cloud Engineering Senior Analyst - HIH - Evernorth

INTRODUCTION TO EVERNORTH:  Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses.  Evernorth Health Services India builds on The Cigna Group’s existing presence in India.   About Evernorth Health Services: Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence.   About Cigna: The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group. Cloud Engineering Lead Analyst Position Overview The Cloud Engineer Lead Analyst will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness, using major cloud platforms such as AWS, Azure, and Google Cloud. This role requires proficiency in cloud computing principles, services, and architecture, as well as experience in designing and developing software or infrastructure for distributed systems and machine learning technologies. The candidate will collaborate with cross-functional teams to provide expertise in GenAI and ensure the smooth integration and utilization of Large Language Models (LLMs), Transformers, and other advanced AI technologies in enterprise environments. Excellent problem-solving skills, strong programming skills, and experience in the healthcare domain are essential for success in this position.

Comprehensive understanding of cloud computing principles, services (such as resource pooling, rapid elasticity, measured service) and architecture (microservice and serverless) from major cloud providers (e.g., AWS, OpenShift). Efficiently managing cloud resources to optimize performance and cost. Build enterprise grade AI solutions with focus on privacy, security, and fairness. Identify and resolve complex technical challenges encountered by AI developers using AWS (preferred) to build solutions. Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Design and implement solutions leveraging OpenShift's features for container orchestration or using AWS services, S3, Lambda, and EC2 to configure LLMs Test latest LLMs using standard evaluation criteria and make the LLMs available for enterprise use, with the right security, authentication, logging and monitoring. Work with frameworks (Tensorflow, PyTorch) and open-source platforms to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical