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Senior AI Technical Lead

  • Source: LinkedIn
  • Tokio Marine Global Services
  • $161,000 to $205,000 /yr
  • Hybrid
  • Jersey City
  • Full-Time
  • Senior

Job Description

Marketing Statement

Tokio Marine Global Services (TMGS) is the US-based operation of Tokio Marine Holdings, one of the largest global insurance groups in the world, headquartered in Tokyo, Japan. TMGS accelerates synergy and collaboration across the Tokio Marine Group by delivering core infrastructure services in the areas of actuarial services, internal audit, investor relations, and information technology. TMGS supports Tokio Marine’s operations across 46 countries and regions and more than 50,000 employees worldwide, serving as a hub for global innovation through a strong people strategy and sustainable international growth.

Job Summary:

The International AI Hub is responsible for exploring, testing, and accelerating the adoption of Artificial Intelligence across Tokio Marine Group Companies. The Senior AI Technical Lead will be responsible for driving AI initiatives across the Tokio Marine global enterprise. This role combines deep technical expertise with enterprise-level architectural oversight to ensure scalable, secure, and integrated AI solutions. This role will act as a bridge between AI innovation and enterprise systems, translating business needs into production-ready AI capabilities that deliver tangible value.

Essential Job Functions:

  • Serves as the senior technical authority for AI proof-of-concepts (PoCs) across infrastructure, cloud, networking, and security domains
  • Leads architecture and feasibility reviews for AI use cases, embedding scalability, compliance, and security from inception
  • Acts as the primary interface between business and technical teams, translating complex business challenges into actionable AI solutions
  • Mentors and guides engineers and developers, fostering excellence in AI prototyping and enterprise-grade integration
  • Develops and maintains enterprise AI integration blueprints, documentation, and deployment guides for Group Companies
  • Oversees vendor engagements to safeguard intellectual property, control costs, and ensure smooth knowledge transfer
  • Ensures production readiness, operational stability, and compliance for all AI deployments
  • Collaborates with internal IT and global technology teams to ensure seamless integration of AI into enterprise systems
  • Maintains alignment between AI initiatives and corporate governance frameworks
  • Executes strategic projects and initiatives as assigned by leadership

Qualifications:

  • 10+ years of progressive IT experience spanning multiple disciplines, including infrastructure, software development, and cloud architecture
  • Proven expertise in enterprise integration, cloud platforms (AWS, Azure), and data engineering
  • Hands-on experience with SDLC, DevOps, and CI/CD practices
  • Proficiency in containerization and orchestration tools such as Docker and Kubernetes
  • Strong understanding of enterprise security, compliance, and governance frameworks
  • Experience working within the insurance or financial services industries preferred
  • Demonstrated ability to operate autonomously and drive results in complex, global environments
  • Excellent leadership, problem-solving, and communication skills
  • Hybrid work model, working a few days in our Jersey City, NJ location and the rest from home

EEO Statement:

Tokio Marine Group of Companies (including, but not limited to the Philadelphia Insurance Companies, Tokio Marine America, Inc., TMNA Services, LLC, TM Claims Service, Inc. and First Insurance Company of Hawaii, Ltd.) is an Equal Opportunity Employer. In order to remain competitive we must attract, develop, motivate, and retain the most qualified employees regardless of age, color, race, religion, gender, disability, national or ethnic origin, family circumstances, life experiences, marital status, military status, sexual orientation and/or any other status protected by law.

Skills

  • tokio
  • amazon-web-services
  • microsoft-azure
  • Docker
  • Kubernetes

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