SVP, Head of Engineering & Solutions Architect
Responsibilities:- AI Platform Ownership & Roadmap
- Own the AI strategy and engineering roadmap for underwriting and adjacent business functions
- Design and build AI-first platforms leveraging agentic systems across underwriting, insurance operations, and future domains (e.g., AR/AP, go-to-market workflows)
- Lead adoption of AI-assisted development and code generation tools, pushing teams to meaningfully improve developer productivity and quality
- Partner with Data Science to operationalize models and agents in production (this role focuses on engineering and platformization, not model research)
- Architecture & Hands-On Engineering
- Lead the design and implementation of modern, cloud-native architectures in a 100% Microsoft Azure environment
- Build and evolve a proprietary AI-enabled underwriting platform from the ground up
- Perform hands-on development in core platform services and integrations
- Define and evolve APIs, services, and workflows across the underwriting lifecycle
- Ensure production-grade reliability, scalability, security, and observability
- Full-Stack & Modern UI Enablement (Supporting, Not Primary)
- Provide technical leadership across the full stack, including REST-based services and modern JavaScript frameworks
- Enable and guide teams working with Vue.js and React, without making front-end development the primary focus of the role
- Ensure UI and platform layers are well-integrated and designed for rapid iteration and AI-driven workflows
- AI Engineering & Tooling
- Build and scale agent-based AI systems using modern frameworks (e.g., LangChain, LangGraph, Semantic Kernel or equivalent)
- Own AI infrastructure, orchestration, and deployment pipelines
- Establish best practices for responsible, scalable AI in production environments
- Train and mentor engineers on effective use of AI tooling, agents, and modern development workflows
- Leadership & Team Development
- Lead a small core team (2-3 direct reports) and provide technical direction to a broader group of engineers and contractors
- Shape the team's technical direction, standards, and development culture
- Act as a key partner to Product, Underwriting, Data Science, and Executive Leadership
- Translate business and underwriting needs into scalable technical solutions
Qualifications:Must-Have
- Expert-level hands-on engineering background with a strong desire to build and code
- Deep experience building production AI systems, including agent-based architectures
- Strong proficiency in Python and applied AI frameworks (e.g., LangChain, LangGraph, Semantic Kernel)
- Experience designing and owning modern, cloud-native platforms in Microsoft Azure
- Solid experience with RESTful services and modern backend architectures
- Working knowledge of JavaScript and modern frameworks (Vue.js, React) sufficient to lead and guide teams
- Demonstrated passion for AI-assisted development and code generation tools
- Proven ability to define and execute a technical roadmap in fast-moving environments
Nice-to-Have
- Experience in underwriting, insurance, or financial services
- Familiarity with regulated production environments and explainability requirements
- Experience extending AI platforms beyond core domains (e.g., finance operations, GTM workflows)
- Background in building internal developer platforms or proprietary tooling
Leadership Profile
- Builder-first mindset - leads by doing, not delegating
- Comfortable embracing new architectures and evolving systems
- Pushes teams to use AI to improve how software is built
- Pragmatic, fast-moving, and comfortable with ambiguity
- Strong communicator across technical and non-technical audiences
- Passionate about modern engineering, AI, and continuous improvement
