Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Tokio Marine HCC
Head of AI Platform Engineering and Public Cloud
Head of AI Platform Engineering & Public Cloud
Location: Houston, TX or Remote
Reports To: Deputy CIO
Employment Type: Full time
Requisition Begin Date: 4/30/2026
Requisition End Date: 6/30/2026 (Posting may close earlier if filled or business needs change.)
About Us
Help us insure it. Tokio Marine HCC is a leading global specialty insurance group, backed by the strength and stability of the Tokio Marine Group. With more than 50 years of sustained growth and profitability, and offices across the United States, the United Kingdom, Europe, and other international locations, we offer more than 100 classes of specialty insurance-covering everything from the crops that feed us and the concerts that entertain us to rescuing travelers abroad.
Guided by our Mind Over Risk philosophy, we empower clients to pursue opportunities with confidence while fostering a culture rooted in innovation, collaboration, and trust. Always Advancing, we embrace an entrepreneurial spirit; as Experts in Tomorrow, we anticipate what's next; and by Reaching Out, we build genuine connections that enable our people and our business to thrive.
Role Overview
We are seeking a senior technology leader to serve as Head of AI Platform Engineering & Public Cloud, responsible for defining and executing TMHCC's enterprise platform strategy across both cloud and artificial intelligence domains.
This role will build and lead a net-new AI Platform Engineering function while inheriting and evolving the existing Public Cloud Platform Engineering team. The primary mandate is to enable safe, scalable, and governed AI adoption across the enterprise, transitioning from fragmented experimentation to enterprise-grade capabilities.
This is a strategic leadership role. Success requires deep technical credibility, strong organizational leadership, and the ability to drive alignment and outcomes across a complex, federated environment.
Key Responsibilities
Platform Strategy & Vision
• Define and execute enterprise strategy for AI platform engineering and multi-cloud environments
• Establish AI guardrails, governance models, and architectural patterns
• Drive decisions on standardization, centralization, and build vs. buy
• Align platform roadmap with business priorities
AI Platform Engineering
• Build and scale a net-new AI platform function
• Implement governance-by-engineering with policy-as-code and automated controls
• Partner with security on identity, data protection, and secure AI usage
• Establish model access, observability, and risk frameworks
• Reduce shadow AI through approved tools and vendor strategies
Public Cloud Platform Leadership
• Lead and evolve the existing cloud platform team
• Ensure secure, scalable, and cost-efficient cloud capabilities
• Integrate cloud and AI strategies into a unified platform model
Platform as a Product
• Operate platforms as products with clear roadmaps and metrics
• Develop internal developer platforms and self-service capabilities
• Define service catalogs and golden paths
• Drive adoption through developer-centric design
Developer Experience & Enablement
• Improve developer experience through self-service and automation
• Deliver APIs, templates, and platform interfaces
• Enable AI-assisted development workflows
• Partner with engineering teams to drive adoption
Governance, Security & Automation
• Embed governance via policy-as-code and automated guardrails through close partnership with Information Security
• Standardize identity, secrets, and access controls
• Ensure audit-ready telemetry and compliance
• Enforce data governance and AI usage controls
FinOps & Optimization
• Embed cost management into platform capabilities
• Provide cost visibility and enforce budgets
• Drive accountability via consumption models
• Optimize cloud and AI cost-performance tradeoffs
Organizational Leadership
• Build and lead a high-performing platform engineering organization
• Define operating models across federated teams
• Influence stakeholders without direct authority
• Develop talent and foster accountability culture
What You Bring
Education
• Bachelor's degree in computer science, or a related field, or equivalent experience
Experience
• 10+ years in cloud, platform engineering, or AI environments
• 5+ years leading engineering or platform teams
• Experience building and scaling platform capabilities
• Strong technical background in cloud and AI/LLM systems
• Experience with policy-as-code and governance frameworks
• Understanding of AI risks, security, and data governance
• Ability to lead through ambiguity and drive outcomes
Preferred
• Experience building enterprise AI platforms
• Experience with internal developer platforms
• Familiarity with RAG and agentic workflows
- FinOps and cos
Source: Tokio Marine HCC careers