SVP, Head of Engineering – Solutions Architect

Novacore

. Own the AI strategy and engineering roadmap for underwriting and adjacent business functions .

Posted 9/22/2026full-timeRemote • Ohio • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling AI-first platforms, with a strong focus on cloud-native architectures in Microsoft Azure. Proven ability to lead teams in developing production-grade AI systems and integrating modern frameworks like Vue.js and React.

Highest-signal resume keywords

AI Strategy OwnershipCloud-Native Architecture in Microsoft AzurePython and Applied AI FrameworksRESTful Services and Modern Backend ArchitecturesTechnical Leadership and Team Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLangChainLangGraphSemantic KernelRESTful ServicesVue.jsReactAI Systems DevelopmentCloud-Native PlatformsAPI Definition and Integration

Soft Skills

Strong CommunicationBuilder-First MindsetComfort with AmbiguityPassion for Continuous ImprovementLeadership by Doing

Tools & Technologies

Microsoft AzureAI-Assisted Development ToolsAgent-Based ArchitecturesInternal Developer PlatformsProprietary Tooling

Industry Keywords

UnderwritingInsuranceFinancial ServicesRegulated Production EnvironmentsExplainability Requirements

Tech Stack

Tools & technologies

AzureCloudJavaScriptPythonReactVue.js

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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