AI Platform Implementation Leader - System Integration

We are seeking an experienced AI Platform Implementation Leader to spearhead the integration of advanced AI solutions across our insurance technology stack. The ideal candidate will have a deep understanding of leading insurance platforms such as Guidewire, Duck Creek, Majesco, Insurity, Socotra, and Origami, and will drive the adoption of cloud‑native architectures, integration engineering, and application engineering best practices. This role requires a blend of technical leadership, architectural vision, and hands‑on execution to deliver robust, secure, and scalable AI platforms that support our digital transformation initiatives.

Responsibilities

• Lead the design, implementation, and deployment of AI platforms across multiple insurance product lines.
• Architect and oversee cloud‑native solutions using AWS, Azure, and GCP, ensuring alignment with TOGAF principles.
• Drive integration engineering efforts, connecting Guidewire, Duck Creek, Majesco, Insurity, Socotra, and Origami with external data sources and services.
• Implement DevSecOps practices, CI/CD pipelines, and test automation to accelerate delivery while maintaining security and compliance.
• Establish observability, SRE, and monitoring frameworks to guarantee high availability and performance of AI services.
• Collaborate with Agile and SAFe teams to deliver incremental value and maintain continuous improvement.
• Mentor and coach cross‑functional teams on best practices in AI, integration, and cloud technologies.
• Ensure security and data privacy standards are met across all AI and integration components.

Requirements

• Proven experience leading AI platform implementation and system integration projects in the insurance domain.
• Hands‑on expertise with Guidewire, Duck Creek, Majesco, Insurity, Socotra, and Origami platforms.
• Strong background in cloud‑native architectures, Kubernetes, and multi‑cloud environments (AWS, Azure, GCP).
• Deep knowledge of integration engineering, application engineering, and AI platform development.
• Experience with DevSecOps, CI/CD, test automation, observability, and SRE practices.
• Familiarity with Agile and SAFe frameworks and ability to work in a fast‑paced, iterative environment.
• Solid understanding of security principles, data privacy, and regulatory compliance in the insurance sector.
• Excellent communication, stakeholder management, and leadership skills.