SVP, Head of Engineering – Solutions Architect

🔥 14 hours ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Novacore

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1990

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Novacore is a specialty commercial insurance platform and managing general agent (MGA/MGU) that delivers tailored programs and underwriting solutions for complex and hard-to-place risks across sectors including healthcare, real estate, transportation, social services, reinsurance, and diversified B2B. Backed by a large network of agent partners and substantial premium volume, Novacore combines proven underwriting expertise with advanced technology and real-time analytics to accelerate quoting, improve operational efficiency, and support growth for agents and carriers.

📋 Description

• 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 • Lead adoption of AI-assisted development and code generation tools to improve developer productivity and quality • Partner with Data Science to operationalize models and agents in production, focusing on engineering and platformization rather than model research • Lead 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 • 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 • Ensure UI and platform layers are integrated and designed for rapid iteration and AI-driven workflows • Build and scale agent-based AI systems using modern frameworks such as LangChain, LangGraph, and Semantic Kernel • Own AI infrastructure, orchestration, and deployment pipelines • Establish best practices for responsible, scalable AI in production environments • Train and mentor engineers on AI tooling, agents, and modern development workflows • Lead a small core team of 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 • Partner with Product, Underwriting, Data Science, and Executive Leadership • Translate business and underwriting needs into scalable technical solutions

🎯 Requirements

• 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 such as LangChain, LangGraph, and 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, including Vue.js and 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 • Experience in underwriting, insurance, or financial services is nice-to-have • Familiarity with regulated production environments and explainability requirements is nice-to-have • Experience extending AI platforms beyond core domains is nice-to-have • Background in building internal developer platforms or proprietary tooling is nice-to-have • Builder-first mindset and ability to lead by doing • Comfort embracing new architectures and evolving systems • Pragmatic, fast-moving, and comfortable with ambiguity • Strong communication across technical and non-technical audiences • Passion for modern engineering, AI, and continuous improvement

🏖️ Benefits

• Competitive compensation and comprehensive benefits • Year-round social and community events • Ongoing mentorship and professional development • Endless opportunities for upward mobility • Collaborative, results-driven environment