Cloud Engineering Associate Advisor - 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.

Job Title: Cloud Engineering Associate Advisor

Position Overview:

The AI CoE team is seeking Gen AI Cloud Engineer to work on the AI ecosystem. The GenAI Cloud Engineer 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 architectures, 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.

Responsibilities:

1.    Build enterprise grade AI solutions with focus on privacy, security, fairness.
2.     Identify and resolves complex technical challenges encountered by AI developers using AWS (preferred) to build solutions.
3.    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, OpenShift).
4.    Design and implement solutions leveraging OpenShift's features for container orchestration or using AWS services, Sagemaker, S3, Lambda, and EC2 to configure LLMs 
5.    Test latest LLMs using standard evaluation criteria and make the LLMs available for enterprise use, with the right security, authentication, logging and monitoring. 
6.    Efficiently managing cloud resources to optimize performance and cost.
7.    Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.
8.    Work with frameworks (Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions 
9.    Optimize existing generative AI models for improved performance, scalability, and efficiency.
10.    Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
11.    Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
12.    Contribute to the establishment of best practices and standards for generative AI development within the organization.

Qualifications:

Education:

·     Degree in Computer Science, Artificial Intelligence, or a related field.

Experience:

·     Minimum of 8-11 years of experience in Workforce Management.

Skills:

• 10+ years of extensive experience on AWS Cloud along with 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.

• Experience in implementing enterprise systems in production setting 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.

• Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embeddings.

• 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.

•  2 year of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

• 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 (not Mandatory) 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.

•  Strong knowledge of data structures, algorithms, and software engineering principles.

•  Familiarity with cloud-based platforms and services, such as AWS, GCP, or  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.

Work Hours:

·        11.30AM IST to 8.30PM IST

Equal Opportunity Statement:
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services