Principal IT Programmer Analyst

Requisition ID: 93647

At PALMS Insurance, a NextEra Energy company, we specialize in offering customized insurance solutions that address the unique needs of our clients. Our commitment to excellence, reliability, and customer satisfaction sets us apart as a trusted provider in the insurance industry. Are you ready to make a meaningful difference? Become a part of our team today.

Position Specific Description

We are seeking an experienced and forward-thinking Lead Software Engineer to join our growing technology team at Palms Insurance. In this leadership role, you will drive the design, development, and evolution of our Palms Insurance Platform (PIP) and emerging AI-driven applications, while mentoring a team of Senior and mid-level engineers. You will sit at the intersection of full-stack software engineering, generative AI, and P&C insurance operations - translating complex business needs into scalable, intelligent solutions.

Key Responsibilities:

Technical Leadership & Architecture

• Lead architecture and design discussions for PIP and AI agent-driven platforms, aligning solutions with the company's technology roadmap and strategic goals.
• Design, develop, and maintain scalable, secure, and high-performance full-stack applications using modern frameworks including Next.js, TypeScript, and Python.
• Architect and deploy Agentic AI and LLM-powered solutions leveraging frameworks such as LangChain/LangGraph, ADK, or NGA, integrated with AWS and enterprise data platforms.
• Lead the design and implementation of RAG pipelines, vector databases, and MCP (Model Context Protocol) patterns to support intelligent insurance workflows.

Platform Development & AI Engineering

• Support, augment, and extend the Palms Insurance Platform (PIP) adding features, refining UX, and managing data changes in collaboration with data and analytics teams.
• Build and maintain AI agents for claims automation, underwriting support, risk assessment, and compliance use cases within P&C insurance.
• Develop and integrate LLM observability, evaluation, and test pipelines using tools such as LangSmith, or Streamlit.
• Implement real-time data processing and microservices-based integrations with RESTful APIs, caching layers, and event-driven architectures.
• Contributes to the development of operational reporting and dashboards supporting PIP and insurance business units.

Quality, Testing & DevOps

• Define and execute comprehensive testing strategies including unit, integration, end-to-end, UAT, and AI conversation / LLM evaluation testing.
• Drive automated testing using frameworks such as Selenium, or Postman.
• Enforce CI/CD best practices using GitHub.
• Participate in and lead code reviews, establishing and evolving software development standards across the team.

Mentorship & Collaboration

• Mentor and guide Senior and mid-level engineers, sharing knowledge of AI/ML best practices, software design patterns, and insurance domain context.
• Collaborate cross-functionally with underwriting, claims, actuarial, and finance stakeholders to gather requirements and deliver high-quality, on-time solutions.
• Contribute to technical specifications, user story refinement, effort estimates, and sprint planning.
• Foster a culture of continuous learning, innovation, and engineering excellence.

Preferred Qualifications:

• 8+ years of full-stack software development experience, with formal training in software engineering principles.
• 5+ years of hands-on experience with AWS services: S3, Lambda, Glue, DMS, Cloudwatch, Redshift, Aurora, SageMaker, or EKS.
• Proficiency in Python, JavaScript/TypeScript, Next.js, Node.js, and React.js.
• Strong hands-on experience with GenAI and LLM technologies: LLM models, RAG, Vector DBs, Agentic AI frameworks (LangChain/LangGraph, ADK, NGA), and MCP.
• Solid understanding of NLP, LLMs, machine learning, and deep learning methods.
• Experience with AI/ML frameworks such as TensorFlow or Porch.
• Strong working knowledge of microservices architecture, RESTful APIs, and caching technologies.
• Experience with containerization and orchestration: Docker and Kubernetes.
• Proficiency in Git-based version control and CI/CD tooling (GitHub Actions).
• Strong unit and functional testing skills using Postman.
• Strong problem-solving, debugging, and analytical skills.
• Excellent communication, collaboration, and stakeholder engagement abilities.
• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
• Deep understanding of LLM techniques including Agents, Planning, Reasoning, and tool use.
• Hands-on experience with LLM observability and evaluation tools: Streamlit.
• Experience deploying ML models on AWS using SageMaker or EKS.
• Background in P&C insurance domains including claims, underwriting, or risk - or demonstrated ability to ramp quickly in regulated financial services environments.
• Experience with Tailwind CSS and Svelte/SvelteKit for front-end development.
• Prior experience in a technical lead or staff engineer capacity, including mentoring and team development responsibilities.

Job Overview