Software Engineering Advisor - Evernorth

Cigna Healthcare • Morris Plains, NJ

8d

About The Position

The AI Center of Excellence Innovation team is seeking a Software Engineering Advisor to design, build, and scale reusable AI-enabled software solutions across Evernorth and the enterprise. This role is suited for an early to mid‑career engineer with strong full stack fundamentals and hands-on experience with modern AI technologies, including generative AI and knowledge graph–based systems. The Software Engineering Advisor will partner with senior engineers, architects, data scientists, and business stakeholders to deliver production-ready solutions while continuing to build technical and architectural depth. Role Objective Contribute to the delivery of high-quality, reusable AI-first software that supports strategic initiatives across U.S. and global teams. This role focuses on application and service development—not traditional data engineering or reporting. Technical Focus Full stack development of AI-powered applications and services LLM-based workflows, tools, and agents Knowledge graph integration and semantic retrieval Cloud-native development and containerization Reusable components and reference implementations Technology Stack AWS Docker and Podman Python (FastAPI, Pydantic, Pydantic-AI, LangChain) Neo4j and graph technologies Commercial and open-source LLMs LangSmith and observability tooling Git-based CI/CD pipelines Expectations Deliver maintainable, well-structured code with senior guidance Participate in sprint planning, design reviews, and code reviews Contribute to architecture and implementation improvements Balance experimentation with reliability and quality

Requirements

• Early to mid‑career software engineering experience
• Strong Python and API development skills
• Hands-on experience with generative AI or AI-enabled systems
• Familiarity with knowledge graphs or graph modeling
• Cloud-native development experience (AWS preferred)
• Experience with containers (Docker or Podman)
• Solid understanding of software engineering fundamentals
• Git and agile development experience

Nice To Haves

• Experience in AI, innovation, or platform teams
• Exposure to multiple LLM providers or evaluation frameworks
• Observability and monitoring experience
• Contributions to shared libraries or accelerators
• Open-source interest or contributions

Responsibilities

• Design and build backend services and APIs for AI applications
• Contribute to full stack features and service orchestration
• Develop and integrate LLM-based workflows and agents
• Support pilots and proofs of concept through production
• Translate requirements into technical solutions
• Support deployments, triage issues, and automate testing
• Apply best practices for quality, reliability, and reuse
• Build cloud-ready, well-architected applications
• Take ownership of deliverables
• Continuously improve code quality and developer experience
• Communicate clearly with technical and non-technical partners
• Actively participate in agile ceremonies
• Raise questions and risks early
• Collaborate across teams and experience levels

Benefits

• Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs.
• We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed