Software Engineering Advisor - HIH - Evernorth
The Cigna Group
Software Engineering Advisor - HIH - Evernorth
Job Description
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 AdvisorPosition OverviewThe 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.ResponsibilitiesDesign and develop intelligent applications using Python and modern AI frameworksBuild and deploy machine learning and deep learning models for production use Implement generative AI and agentic solutions using LangChain, LangGraph, and ReAct agentsDevelop scalable APIs and user interfaces using FastAPI and Streamlit Apply human-in-the-loop and supervisor methodologies to enhance model reliabilityIntegrate AI models into business workflows in collaboration with cross-functional teamsUtilize cloud platforms and tools such as Databricks for data processing and model training Ensure code quality and maintainability using Pydantic models and engineering best practicesDeploy 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 teamsSupport release management, configuration, and deployment activitiesConduct peer code reviews and contribute to continuous improvement initiativesTroubleshoot and integrate microservices and APIs across distributed systemsQualificationsRequired Skills:Proficiency in Python programming and AI model developmentStrong foundation in machine learning, deep learning, and natural language processingExperience with generative AI and agentic AI frameworks Familiarity with LangChain, LangGraph, ReAct agents, and Pydantic AI modelsHands-on experience with Jupyter Notebooks, Streamlit, PyCharm, and Visual StudioAbility 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 optimizationStrong communication, time management, and problem-solving skills.Demonstrated ownership, accountability, and a continuous improvement mindsetPreferred Qualifications:Experience implementing human-in-the-loop and supervisor-based AI systemsBackground in deploying AI solutions in enterprise or healthcare environmentsExperience with prompt engineering and LLM integration Exposure to vector databases, semantic search, and OpenAI APIs Familiarity with AWS Bedrock and conversational AI deploymentDomain experience in healthcare or pharmacy benefit management (PBM)Required Experience & Education: 5+ years of experience in Python development and AI model implementation3+ years of experience in machine learning and deep learning projects2+ years of experience in Java/SpringBoot development Proven experience designing and deploying cloud-native applicationsBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience) Location & Hours of WorkHyderabad 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.About Evernorth Health ServicesEvernorth 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.
Locations
- India, Hyderabad
Skills Required
- Python programmingintermediate
- generative AIintermediate
- LangChainintermediate
- Jupyter Notebooksintermediate
- cloud platformsintermediate
- deploying AI solutions in enterpriseintermediate
- prompt engineeringintermediate
- AWS Bedrockintermediate
- healthcareintermediate
Required Qualifications
- Proficiency in Python programming and AI model development (experience)
- Strong foundation in machine learning, deep learning, and natural language processing (experience)
- Experience with generative AI and agentic AI frameworks Familiarity with LangChain, LangGraph, ReAct agents, and Pydantic AI models (experience)
- Hands-on experience with Jupyter Notebooks, Streamlit, PyCharm, and Visual Studio (experience)
- 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 (experience)
- Strong communication, time management, and problem-solving skills.Demonstrated ownership, accountability, and a continuous improvement mindset (experience)
- Proficiency in Python programming and AI model development (experience)
- Strong foundation in machine learning, deep learning, and natural language processing (experience)
- Experience with generative AI and agentic AI frameworks Familiarity with LangChain, LangGraph, ReAct agents, and Pydantic AI models (experience)
- Hands-on experience with Jupyter Notebooks, Streamlit, PyCharm, and Visual Studio (experience)
- 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 (experience)
- Strong communication, time management, and problem-solving skills.Demonstrated ownership, accountability, and a continuous improvement mindset (experience)
Preferred Qualifications
- Experience implementing human-in-the-loop and supervisor-based AI systems (experience)
- Background in deploying AI solutions in enterprise or healthcare environments (experience)
- Experience with prompt engineering and LLM integration Exposure to vector databases, semantic search, and OpenAI APIs Familiarity with AWS Bedrock and conversational AI deployment (experience)
- Domain experience in healthcare or pharmacy benefit management (PBM)Required (experience)
- Experience implementing human-in-the-loop and supervisor-based AI systems (experience)
- Background in deploying AI solutions in enterprise or healthcare environments (experience)
- Experience with prompt engineering and LLM integration Exposure to vector databases, semantic search, and OpenAI APIs Familiarity with AWS Bedrock and conversational AI deployment (experience)
- Domain experience in healthcare or pharmacy benefit management (PBM)Required (experience)
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 systemsQualifications
- 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 systemsQualifications
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