Software Engineering Associate Advisor – AI Engineer (Python and Java)
ABOUT EVERNORTH:
Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don’t, won’t or can’t.
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.
We are always looking upward. And that starts with finding the right talent to help us get there.
Position Overview
The AI Engineer will be part of a fast‑moving engineering team developing AI‑driven solutions using modern, open‑source, and cloud‑native technologies. The role requires strong collaboration with senior engineers, data scientists, and business stakeholders to design, build, deploy, and optimize AI and machine learning models that drive business value.
Responsibilities
Collaborate with Sr‑Engineers, data scientists, and business stakeholders to understand project requirements and define AI solutions.
Design, develop, and optimize machine learning models, algorithms, and neural networks.
Collect, preprocess, and analyze large datasets to support training and validation activities.
Develop AI‑enabled application features using modular, maintainable code.
Participate in agile ceremonies including daily standups, sprint reviews, and code reviews.
Conduct impact analysis and contribute to low‑level design decisions.
Deploy machine learning models to Azure, AWS, or GCP environments.
Monitor and iterate on AI model performance in production.
Work with engineering and DevOps teams to operationalize AI solutions using CI/CD pipelines.
Strong understanding of agile software development practices.
Support the full software lifecycle of design, development, testing, and support for technical delivery.
Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria.
Work on a development team using agile methodologies.
Understand the Business and the Application Architecture End to End
Solve problems by crafting software solutions using maintainable and modular code.
Participate in daily team standup meetings where you'll give and receive updates on the current backlog and challenges.
Participate in code reviews. Ensure Code Quality and Deliverables
Provide Impact analysis for new requirements or changes. Responsible for low level design with the team
Qualifications
Required Skills & Experience:
• 8+ years’ experience in software engineering with at least 4 years in AI/ML.
• Hands‑on experience building ML models and neural networks.
• Strong programming skills in Python (Java/Scala is a plus).
• Hands-on experience with Large Language Models (LLMs), leveraging them to design, fine-tune, and build customized models and solutions tailored to specific business or user needs.
• Cloud AI deployment experience with Azure, AWS, or GCP.
• Experience with data pipelines, preprocessing, and feature engineering.
• Familiarity with MLOps tools and CI/CD for AI workloads.
• Understanding of microservices, containers, and distributed systems
Desired Skills:
Experience working on Patient Master Data Management (MDM) or healthcare data platforms.
Familiarity with vector databases, Faiss, Milvus, or Pinecone for AI matching solutions.
Knowledge of containerization (Docker) and orchestration (Kubernetes/EKS).
Exposure to model monitoring, CI/CD, and MLOps practices.
Education
Bachelor’s degree in information technology, Computer Science, Technology Management, or a related field.
Location & Hours of Work
Full-time position, working 45 hours per week. Expected overlap with US hours as appropriate.
Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
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.
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
- 8+ years' experience in software engineering
- at least 4 years in AI/ML
- Hands‑on experience building ML models and neural networks
- Strong programming skills in Python
- Cloud AI deployment experience with Azure, AWS, or GCP
- Experience with data pipelines, preprocessing, and feature engineering
- Familiarity with MLOps tools and CI/CD for AI workloads
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.
