Head of AI Platform Engineering, Public Cloud

Tokio Marine HCC

Head of AI Platform Engineering at Tokio Marine HCC defining enterprise platform strategy across cloud and AI domains. Leading a new platform function while evolving existing cloud engineering teams.

Posted 5/1/2026full-timeHouston • Texas • 🇺🇸 United StatesLead💰 $175,600 - $387,300 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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
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
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
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
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
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
Embed cost management into platform capabilities
Provide cost visibility and enforce budgets
Drive accountability via consumption models
Optimize cloud and AI cost-performance tradeoffs
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

Requirements

What you’ll need

Bachelor’s degree in computer science, or a related field, or equivalent 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

Benefits

Comp & perks

Competitive salary and comprehensive medical, vision, and dental benefit package, with eligibility beginning on your date of hire
Strong learning culture with ongoing development opportunities
Basic life and disability insurance
401(k) plan with 6% company match
20 days of PTO, two floating holidays, approximately 11 paid holidays, and volunteer time off
Paid parental leave
An opportunity to do meaningful work and love what you do

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI platform engineeringmulti-cloud environmentspolicy-as-codecloud capabilitiesAPIsautomationdata governancecost managementplatform engineeringdeveloper-centric design

Soft Skills

leadershipinfluence stakeholdersdrive outcomesfoster accountability culturepartneringimprove developer experiencedrive adoptionestablish governancelead through ambiguitybuild high-performing teams

Certifications

Bachelor’s degree in computer sciencerelated field