Software Engineering Lead Analyst
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
We are seeking a highly skilled and experienced Generative AI Engineer to join our Patient Identity and Master Data Platform team. This engineer will play a pivotal role in transforming our existing Spring Boot Java-based platform into a next-generation AI-driven architecture. The ideal candidate will be responsible for ensuring seamless integration and backward compatibility while building scalable AI-driven solutions for entity resolution, identity matching, and master data stewardship.
You will work closely with cross-functional engineering teams, architects, and product managers to design, prototype, and implement AI/ML services that enhance the precision and automation of patient identity resolution across various business channels and digital products.
Responsibilities
Lead the transformation of existing Spring Boot, Java, Kafka, and AWS-based API/Data pipeline systems into an AI-first platform.
Design, implement, and scale ML/GenAI models for patient identity resolution and entity matching current Spark and Java and to transform in latest tech.
Ensure high performance and availability of identity services with no disruption to existing downstream consumers.
Develop migration strategies for transitioning to the new AI platform with minimal risk and maximum automation.
Collaborate with Data SME, MDM experts, and software engineers to operationalize AI/ML pipelines.
Integrate AI models into production pipelines and monitor for data drift, accuracy, and operational efficiency.
Maintain code quality, perform code reviews, and enforce best practices in AI/ML and backend engineering.
Qualifications
Required Skills & Experience:
5–8 years of hands-on experience in backend development, data engineering, or AI/ML platforms.
Strong programming skills in Java, Python with solid experience in Spring Boot frameworks.
Proficiency with Apache Kafka for real-time data streaming and event-driven architectures.
Experience with AWS services including S3, EC2, Lambda, Sagemaker, EKS, and Step Functions.
Hands-on experience with Apache Spark for distributed processing and AI/ML model execution.
Proven track record of building and deploying ML models, ideally for identity resolution or similar entity matching use cases.
Solid understanding of data pipelines, ETL, and data quality frameworks.
Familiarity with Generative AI models, NLP, LLMs, and embedding-based search and matching.
Knowledge of data governance, privacy regulations (e.g., HIPAA), and security best practices.
Strong analytical and problem-solving skills with excellent verbal and written communication.
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.
Tools & Technologies:
Languages: Java, Python (for ML/AI model development)
Frameworks: Spring Boot, Apache Spark, MLlib, TensorFlow/PyTorch (as applicable)
Data & Messaging: Kafka, MongoDB, PosgreSQL, AWS S3, RDS, Glue, Step Functions
AI/ML: AWS SageMaker, Vector Search, Generative AI APIs, Hugging Face, OpenAI
DevOps: Git, Jenkins, Docker, Kubernetes, Terraform
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 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.