AI Platform Leader on Google Cloud

Huntington National Bank; Fairlawn (OH); On-site; USD 93,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life and disability insurance

Retirement savings plan

Paid leave and PTO

Job summary

Huntington National Bank seeks a Senior Manager to lead the strategy, engineering, and operation of its AI Engineering Platform on Google Cloud. You will deliver shared services, guardrails, and developer experiences enabling enterprise AI at scale.

Responsibilities include guiding platform capabilities, governance, security, observability, and operational excellence while partnering with enterprise leaders to drive adoption and measurable improvements in AI delivery across the organization.

Qualifications

• Bachelor's Degree and 10+ years of related technology experience.
• 5+ years leading engineering, platform, or technology delivery teams.
• Experience building, operating, or modernizing cloud-based platforms.
• Experience with security, governance, and regulatory compliance.

Responsibilities

• Define and execute the vision, strategy, and roadmap for Huntington's AI Platform on Google Cloud.
• Lead adoption and operations of Vertex AI and Gemini Enterprise capabilities.
• Establish reusable platform services and reference architectures for enterprise AI delivery.
• Collaborate with Architecture, Engineering, Data, Security, Risk and Product leaders.

Skills

Leadership

Cloud platforms

AI platform development

Governance and security

Stakeholder management

DevOps / CI/CD

Cross-functional collaboration

Education

Bachelor's Degree

Tools

Vertex AI

Gemini Enterprise Agent Platform

Agent Development Kit (ADK)

BigQuery

Job description

Huntington National Bank seeks a Senior Manager to lead the strategy, engineering, and operation of its AI Engineering Platform on Google Cloud. You will deliver shared services, guardrails, and developer experiences enabling enterprise AI at scale.

Responsibilities include guiding platform capabilities, governance, security, observability, and operational excellence while partnering with enterprise leaders to drive adoption and measurable improvements in AI delivery across the organization.