Head of AI Platform Engineering on Google Cloud

Huntington Bank; Columbus (OH); Hybrid; USD 93,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Retirement savings plan

Paid leave and PTO

Life and disability insurance

Job summary

Huntington Bank is seeking a Senior Manager to lead the AI Engineering Platforms strategy and engineering on Google Cloud. You will drive cross-functional collaboration with Architecture, Engineering, Data, Infrastructure, Security, Risk, and Product leaders to deliver enterprise‑scale AI capabilities.

The role focuses on reusable platform services, governance, and observability, while maturing the paved road for AI deployment across the organization.

Qualifications

• Experience leading engineering, platform, or technology delivery teams.
• Strong track record in roadmaps, platform strategies, and target-state architecture.
• Proven ability to manage cross-functional teams and risk/compliance in regulated environments.
• Expertise in cloud-native architectures, DevOps, CI/CD, and observability.

Responsibilities

• Define and execute the vision, strategy, and roadmap for Huntington's AI Engineering Platform on Google Cloud.
• Lead adoption and operationalization of Vertex AI and Gemini Enterprise Agent Platform capabilities.
• Establish reusable platform services, engineering standards, and reference architectures that accelerate AI delivery across the enterprise.
• Create the AI Engineering paved road through reusable frameworks, accelerators, SDKs, and engineering standards.
• Establish enterprise-grade operational capabilities, observability standards, and support models.

Skills

Leadership

Stakeholder management

Cloud architecture

DevOps/CI-CD

Strategic planning

Education

Bachelor's degree

Tools

Vertex AI

Gemini Enterprise Agent Platform

Agent Development Kit (ADK)

Cloud Run

Job description

Huntington Bank is seeking a Senior Manager to lead the AI Engineering Platforms strategy and engineering on Google Cloud. You will drive cross-functional collaboration with Architecture, Engineering, Data, Infrastructure, Security, Risk, and Product leaders to deliver enterprise‑scale AI capabilities.

The role focuses on reusable platform services, governance, and observability, while maturing the paved road for AI deployment across the organization.