Cloud Engineering Lead Analyst

About EvernorthEvernorth Health Services a division of The Cigna Group NYSE CI creates pharmacy care and benefits solutions to improve health and increase vitality We relentlessly innovate to make the prediction prevention and treatment of illness and disease more accessible to millions of people About Evernorth Evernorth Health Services a division of The Cigna Group NYSE CI creates pharmacy care and benefits solutions to improve health and increase vitality We relentlessly innovate to make the prediction prevention and treatment of illness and disease more accessible to millions of people Role Title Cloud Engineering Lead AnalystPosition Summary You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve We leverage cutting edge Artificial Intelligence AI and Machine Learning ML algorithms to develop solutions for automated document processing and customer service chat bots We are looking for Sr AI Engineers with strong engineering full stack expertise to evaluate new Large Language Models LLMs and make them available for the enterprise in a compliant and secure manner The work you do will impact millions of customers members and employers that rely on Cigna every day Extreme focus on speed to market and getting Products and Services in the hands of customers and passion to transform healthcare is key to the success of this role Responsibilities Build enterprise grade AI solutions with focus on privacy security fairness Comprehensive understanding of cloud computing principles services such as resource pooling rapid elasticity measured service and architectures microservice and serverless from major cloud providers e g AWS Azure Google Cloud OpenShift Design and implement solutions leveraging OpenShift s features for container orchestration or using AWS services - Sagemaker 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 Efficiently managing cloud resources to optimize performance and cost Architect and develop software or infrastructure for scalable distributed systems and with machine learning technologies Work with frameworks Tensorflow PyTorch and open source platforms like Hugging Face 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 stakeholders Contribute to the establishment of best practices and standards for generative AI development within the organization Experience Required 5 years of Full stack engineering expertise with languages like C Python and Proficiency in designing architecture building API Integrations configuring and deploying cloud services setting up authentication monitoring and logging 3 years of experience in a technical leadership role leading project teams and setting technical direction 3 years of experience working in a complex matrixed organization involving cross-functional or cross-business projects Experience Desired Experience in implementing enterprise systems in production settings for AI computer vision natural language processing Exposure to self-supervised learning transfer learning and reinforcement learning is a plus Experience with information storage retrieval using vector databases like pinecone Experience with designing scalable software systems for classification text extraction summary data connectors for different formats pdf csv doc etc Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow Hugging Face Lang chain Llama Index Education and Training Required Degree in Computer Science Artificial Intelligence or a related field Primary Skills OpenShift and Kubernetes Expertise In-depth knowledge of OpenShift and Kubernetes concepts architecture and best practices Programming experience in C C Java Python Good to have Web development and solution skills Flask Django for Python or Express for Node js Basic knowledge of web frameworks for creating restful APIs to serve models as a service AWS Services knowledge Leveraging one or more of Sagemaker S3 Lambda and EC2 to build solutions on the AWS cloud Additional Skills Strong knowledge of data structures algorithms and software engineering principles Familiarity with cloud-based platforms and services such as AWS GCP or Azure Excellent problem-solving skills with the ability to think critically and creatively to develop innovative AI solutions Strong communication skills with the ability to effectively convey complex technical concepts to a diverse audience Possess a proactive mindset with the ability to work independently and collaboratively in a fast-paced dynamic environment