Cloud Engineering Lead Analyst - HIH - Evernorth
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 Analyst
Position 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.
Job Description & 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 Azure services 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.
- Azure Services knowledge: Leveraging one or more to build solutions on the Azure 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
Location & Hours of Work:
- Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate.
- Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
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
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit 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. Join us in driving growth and improving lives.
Skills Required
- 5 years full stack engineering expertise with C#, Python, and cloud services
- 3 years technical leadership experience
- Degree in Computer Science, Artificial Intelligence, or related field
Cigna Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.
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Strong & Reliable Incentives — Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
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Leave & Time Off Breadth — Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
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Healthcare Strength — Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.
Cigna Insights
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.






