Lead AI Enablement Engineer

In this role, you lead the enablement of EverQuote's enterprise AI services across the organization, shaping how teams adopt and trust AI. You will own integration, usability and adoption, partnering with Security, IT and platform teams to deliver reliable AI-enabled capabilities. You’ll turn new AI features into practical services and reusable workflows used by Finance, Operations, HR, Sales and Engineering. This is a hands-on leadership role that blends engineering depth with a customer-focused mindset to drive measurable impact. Your work will directly influence how colleagues work with AI at scale.

• Own the AI service roadmap and prioritize improvements with department leads
• Integrate AI into everyday work by configuring products and ensuring full tooling integration
• Turn new capabilities into useful services, evaluate quality and roll out improvements with reversibility
• Create reusable capabilities: shared instructions, workflow templates, and version-controlled agents
• Demonstrate and educate colleagues through practical sessions and a network of champions
• Own the end-user experience: monitor health, address feedback, coordinate fixes with IT/Security/Platform Engineering
• Provide technical leadership: establish standards, mentor others, and stay current with LLM releases
• Partner with Security and data owners on access, privacy, auditability and safe tool use

• 10 years of software development experience with 3+ years in AI
• Hands-on experience building and supporting integrations, internal tools or enterprise services
• Practical experience applying LLMs and AI tools to real workflows with understanding of context, retrieval, tool use and evaluation
• Sustained interest in AI tooling with active learning and evaluation of changes
• Customer-focused mindset and ability to support non-technical colleagues
• Evidence of technical leadership, prioritisation and cross-functional delivery
• Experience delivering reliable services with access controls, testing, monitoring and documentation
• Experience with Claude Enterprise or similar enterprise AI products
• Experience with MCP, reusable skills and agent workflows
• Experience with enterprise search and knowledge integration
• Proficiency in Python or TypeScript
• Experience with AWS
• SaaS administration, SSO and OAuth
• Engagement in AI adoption programmes and communities of practice

• customer-focused
• collaborative
• clear communicator
• Claude Enterprise or similar enterprise AI products
• MCP, reusable skills and agent workflows
• enterprise search and knowledge integration