Chief/Senior Enterprise Architect - Genai Transformation | Insurance / Re-Insurance
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.

Overview
Job Description
Job Description Role Summary 20+ years of experience in technology leadership with proven track record of driving enterprise-scale GenAI transformation. This role combines CTO-level architecture leadership, consulting advisory, and internal capability building, with a strong focus on Insurance / Re-Insurance clients. What We Are Looking For 20+ years of experience with strong pedigree of organizations Proven track record of leading large-scale AI/GenAI transformations Ability to combine strategy, architecture, and execution Experience building lean, high-impact teams Established or emerging industry thought leader Personal Characteristics: Executive presence with strong consulting mindset Structured thinker and storyteller Technically authoritative yet business outcome-driven High ownership, ability to operate in matrixed organizations Strong communicator with ability to influence at all levels Client Consulting & Transformation: Lead CXO-level engagements, workshops, and advisory sessions Act as a trusted advisor to clients on AI strategy and transformation roadmaps Translate business problems into AI-driven solutions and executable architectures Support RFP/RFI, solutioning, and large deal pursuits Build strong executive and technical credibility with stakeholders Business Growth & Market Leadership Enable account growth and expansion through transformation initiatives Position differentiated solutions competitively in the market Build strong industry presence and brand credibility Technical (including GenAI) & Enterprise Architecture Leadership Define end-to-end architecture across applications, data, integration, infrastructure, and AI Strong knowledge of cloud platforms (Azure, AWS, GCP) Drive decisions on scalability, performance, resiliency, security, and cost optimization Establish enterprise AI stacks and platform strategies Design and implement agentic AI systems Experience with MCP Connectors, vector databases and enterprise data ecosystems Ability to shape AI-driven opportunities and map business problems to AI solutions Strong Insurance / Re-Insurance domain expertise (preferred)
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
