SVP, Head of Engineering & Solutions Architect

    Highlights

    Partner with Data Science to operationalize models and agents in production (this role focuses on engineering and platformization, not model research). Lead adoption of AI-assisted development and code generation tools, pushing teams to meaningfully improve developer productivity and quality.

    Numbers & Facts

    LocationOhio

    Description


    Why join the Novacore team?

     Because your next stellar chapter starts here — and we’re building something bold and meaningful.

     

    At Novacore, we’re not your average insurance company. We’re a team of driven professionals passionate about redefining the specialty insurance experience for our agents, carrier partners — and for each other.

     

     

    But at our core, we believe it’s not just what we do — it’s how we do it and who we do it with.

    Recognized as a top workplace, Novacore is a place where ambition is supported, growth is continuous and culture matters. From day one, you’ll find mentorship, hands-on learning and clear paths for advancement. You’ll grow your skills, expand your expertise and become even more exceptional — because when you succeed, we all do.

    We offer:

    • A collaborative, results-driven environment

    • Competitive compensation and comprehensive benefits

    • Year-round social and community events

    • Ongoing mentorship and professional development

    • Endless opportunities for upward mobility

    So if you're ready to be part of something extraordinary — with a team that’s transforming commercial insurance — we want to meet you.

    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

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