Senior AI Platform Lead - Enterprise Cloud & Vertex AI

Huntington National Bank

Austin (TX)

On-site

USD 93,000 - 189,000

Full time

4 days ago
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Job summary

Huntington National Bank seeks a Senior Manager to lead AI Engineering Platforms on Google Cloud, directing strategy, engineering, and operations to deliver scalable, reusable AI capabilities across the enterprise.

You will champion Vertex AI, Gemini Platform and related services, build reusable accelerators, and drive governance, security, and observability across teams building AI solutions.

Qualifications

  • Bachelor's degree or higher in a technical field.
  • 10+ years of technology experience with 5+ years in leadership of engineering or platform teams.
  • Experience leading large, regulated technology initiatives and roadmaps.
  • Proven ability to manage cross-functional teams, vendors, and strategic partners.
  • Experience with cloud-native architectures, DevOps, CI/CD, APIs, and security/compliance.

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 Platform capabilities.
  • Establish reusable platform services, standards, and reference architectures.
  • Own platform capabilities including agent development, model services, knowledge retrieval, and memory/state management.
  • Oversee governance, security, observability, and enterprise-scale reliability.

Skills

Software engineering
Platform engineering
DevOps
CI/CD
APIs
Cloud-native architectures

Education

Bachelor's Degree

Tools

Vertex AI
Gemini Enterprise Platform
Agent Development Kit
Agent Runtime
BigQuery
Cloud Run
Pub/Sub
AlloyDB

Job description

Huntington National Bank seeks a Senior Manager to lead AI Engineering Platforms on Google Cloud, directing strategy, engineering, and operations to deliver scalable, reusable AI capabilities across the enterprise.

You will champion Vertex AI, Gemini Platform and related services, build reusable accelerators, and drive governance, security, and observability across teams building AI solutions.

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