What are the responsibilities and job description for the Software Engineering Advisor - HIH - Evernorth position at The Cigna Group?
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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.
Role Title : Software Engineering Advisor
Position Overview
The job profile for this position is Software Engineering Advisor, which is a Band 4 Individual Contributor Career Track Role.
We are seeking a highly skilled and motivated Software Engineering Lead Analyst to join our Home Delivery organization. This role is responsible for delivering end-to-end business solutions—from requirements gathering through production deployment—with deep expertise in Python programming, machine learning, and generative AI.
The ideal candidate will have hands-on experience with agentic frameworks, natural language processing, and modern AI development tools. Responsibilities include designing intelligent systems, building scalable solutions, and integrating human-in-the-loop methodologies to deliver impactful AI-driven products.
In addition to solution delivery, the candidate should demonstrate an automation-first and continuous improvement mindset, driving adoption of CI/CD tools and contributing to the evolution of development processes and toolsets.
Responsibilities
Design and develop intelligent applications using Python and modern AI frameworks
Build and deploy machine learning and deep learning models for production use Implement generative AI and agentic solutions using LangChain, LangGraph, and ReAct agents
Develop scalable APIs and user interfaces using FastAPI and Streamlit Apply human-in-the-loop and supervisor methodologies to enhance model reliability
Integrate AI models into business workflows in collaboration with cross-functional teams
Utilize cloud platforms and tools such as Databricks for data processing and model training Ensure code quality and maintainability using Pydantic models and engineering best practices
Deploy applications on AWS and OpenShift using CI/CD pipelines Monitor application performance and maintain robust logging and observability Participate in Agile ceremonies and collaborate within Scrum or Kanban teams
Support release management, configuration, and deployment activities
Conduct peer code reviews and contribute to continuous improvement initiatives
Troubleshoot and integrate microservices and APIs across distributed systems
Qualifications
Required Skills:
Proficiency in Python programming and AI model development
Strong foundation in machine learning, deep learning, and natural language processing
Experience with generative AI and agentic AI frameworks Familiarity with LangChain, LangGraph, ReAct agents, and Pydantic AI models
Hands-on experience with Jupyter Notebooks, Streamlit, PyCharm, and Visual Studio
Ability to integrate with Java/SpringBoot services and APIs Experience with cloud platforms and tools such as Databricks, AWS, and OpenShift Core competencies in software engineering, including system design, debugging, testing, and performance optimization
Strong communication, time management, and problem-solving skills.Demonstrated ownership, accountability, and a continuous improvement mindset
Preferred Qualifications:
Experience implementing human-in-the-loop and supervisor-based AI systems
Background in deploying AI solutions in enterprise or healthcare environments
Experience with prompt engineering and LLM integration Exposure to vector databases, semantic search, and OpenAI APIs Familiarity with AWS Bedrock and conversational AI deployment
Domain experience in healthcare or pharmacy benefit management (PBM)Required
Experience & Education:
5 years of experience in Python development and AI model implementation
3 years of experience in machine learning and deep learning projects
2 years of experience in Java/SpringBoot development Proven experience designing and deploying cloud-native applications
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Location & Hours of Work
Hyderabad and Hybrid (11:30 AM IST to 8:30 PM 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.
Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.