Software Engineering Lead Analyst - HIH - Evernorth
Quick Summary
7 to 8 years of development experience. Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow). 5+ years of experience working with large language models (e.g., GPT-4,
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.
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.
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.
We're seeking a talented AI/ML Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions. You'll work with state-of-the-art models and technologies, contributing to projects that have the potential to revolutionize industries.
Responsibilities
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Design and implement AI/ML models using various frameworks and libraries.
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Work with large language models (LLMs) from providers like OpenAI and AnthropicDevelop and optimize RAG (Retrieval-Augmented Generation) systems.
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Collaborate with cross-functional teams to integrate AI capabilities into our applications.
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Conduct experiments and analyze results to improve model performance.
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Stay updated with the latest advancements in AI/ML and propose innovative solutions
Requirements
~1 min read7 to 8 years of development experience.
Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow).
5+ years of experience working with large language models (e.g., GPT-4, Claude).
Familiarity with RAG systems and related technologies.
Strong understanding of machine learning concepts and algorithms.
Experience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks)Proficiency in data preprocessing and feature engineering
Nice to Have
~1 min readAdvanced degree in Computer Science, AI, or a related field.
Experience with graph databases (e.g., Neo4j) and knowledge graphs.
Familiarity with MLOps practices and tools.
Experience with GPU acceleration and distributed computing
Contributions to AI/ML open-source projects or research publications
Hyderabad and Hybrid (2:30 PM IST to 11:30 PM IST)
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.
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.
Location & Eligibility
Listing Details
- Posted
- September 29, 2026
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- September 29, 2026
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