Principal Software Engineer – Insurance

JPMorgan Chase & Co.•Columbus, OH

About The Position

As a Principal Software Engineer at JPMorgan Chase within the Consumer & Community Bank, you will serve as the hands-on technical leader for a new AI-native insurance platform—designing core systems, writing production code, and establishing technical patterns and practices that will scale across the engineering organization. You bring deep expertise in agentic workflow design, LLM integration patterns, and AI-assisted development, and you lead by example—influencing adoption through technical excellence and coaching.

Requirements

Formal training or certification on software engineering concepts and 10+ years applied experience
Expert-level proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) and demonstrated ability to coach teams in their adoption and effective use
Experience designing and implementing agentic systems (e.g., LLM-powered agents, multi-step reasoning workflows, tool-using AI) in production environments
Champions an AI-augmented engineering culture, setting technical standards, running experiments, and building team confidence as tooling and best practices evolve in real time
Experience building or integrating digital insurance platforms, including policy administration, quoting systems, carrier APIs, or agency management tools
Hands-on practical experience delivering system design, application development, testing, and operational stability for large-scale digital platforms
Expert in one or more programming languages (e.g., Java, Python, Node.js) with deep understanding of modern software development practices
Expert knowledge and direct experience building cloud-native applications using Kubernetes, service mesh, Kafka, API gateways, and SQL/NoSQL databases
Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, distributed systems, etc.)
Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
Ability to present and effectively communicate with senior leaders and executives

Nice To Haves

Practical cloud native experience with deep expertise in specific technologies such as PostgreSQL, distributed SQL databases, Kubernetes native features, and observability tools (e.g., Dynatrace)

Responsibilities

Architect and build the core technical systems for a digital insurance platform, including policy management, quoting engines, carrier integrations, and AI-powered customer experiences—writing production code for critical components and establishing patterns for the broader team
Design and implement agentic workflows and LLM-powered features, establishing technical standards and integration patterns that enable AI-native development across the platform
Promote adoption of AI-augmented engineering practices through hands-on technical leadership—conducting architecture and code reviews, pairing with engineers, and coaching teams on AI coding tools, agentic design patterns, and modern development workflows
Identify and mitigate technology-related risks by implementing robust security measures, ensuring compliance with regulatory standards, and building systems for operational resiliency and stability
Collaborate with architects, product owners, and engineering teams to evaluate emerging technologies, identify opportunities for technical improvement, and promote adoption of modern frameworks and tools
Stay current on emerging AI coding technologies, agentic system patterns, and software engineering practices, and proactively introduce innovations that accelerate delivery and improve product quality