Head of Enterprise AI Platform on Google Cloud

Huntington

Chicago (IL)

Hybrid

USD 93,000 - 189,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Wellness program
Life and disability insurance
Retirement savings plan
Paid leave and PTO

Job summary

Huntington is seeking a Senior Manager, AI Engineering Platforms to lead the strategy, engineering, and operations of the AI platform on Google Cloud. You will drive adoption of Vertex AI and Gemini Enterprise capabilities, define reusable services, and set standards that enable teams across the enterprise to build, deploy, govern, and operate AI solutions safely and at scale.

Collaborating with Architecture, Engineering, Data, Security, Risk, and Product leaders, you will shape the platform

Qualifications

  • Bachelor's Degree required.
  • 10+ years in technology roles; 5+ years leading engineering/platform teams.
  • 3+ years building or modernizing cloud-based platforms.
  • Experience with large-scale, regulated environments.
  • Proven track record delivering enterprise AI capabilities.

Responsibilities

  • Define the AI Engineering Platform strategy, roadmap, and standards.
  • Lead development of reusable platform services and reference architectures.
  • Oversee integration with Vertex AI, Gemini, and related tools.
  • Drive platform reliability, security, and governance.
  • Collaborate with Architecture, Engineering, Data, Security, Risk, and Product leadership.

Skills

Strategic leadership
Cross-functional collaboration
Platform engineering
Cloud-native architectures
DevOps/CI-CD
Observability
Stakeholder management

Education

Bachelor's Degree

Tools

Vertex AI
Gemini Enterprise Agent Platform
Agent Studio/ADK
Model Garden
BigQuery AI

Job description

Huntington is seeking a Senior Manager, AI Engineering Platforms to lead the strategy, engineering, and operations of the AI platform on Google Cloud. You will drive adoption of Vertex AI and Gemini Enterprise capabilities, define reusable services, and set standards that enable teams across the enterprise to build, deploy, govern, and operate AI solutions safely and at scale.

Collaborating with Architecture, Engineering, Data, Security, Risk, and Product leaders, you will shape the platform

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