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About the Role

Building the Google-powered foundation that enables enterprise AI at scale. Lead the strategy, engineering, and operation of Huntington's AI Engineering Platform on Google Cloud, delivering shared capabilities, services, guardrails, and developer experiences that enable teams across the enterprise to build, deploy, govern, and operate AI solutions safely and at scale.

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.
Evaluate and incorporate emerging Google AI capabilities into the enterprise platform roadmap.
Lead enterprise capabilities including Agent Development & Orchestration, Model & Reasoning Services, Knowledge & Retrieval, Memory & State Management, Runtime, Tools & Execution, Governance, Security & Observability.
Provide strategic and operational leadership for capabilities leveraging Vertex AI and Gemini Enterprise Agent Platform, Agent Studio and Agent Development Kit (ADK), Model Garden and Gemini model services, Agent Runtime and Code Execution, Memory Bank, Sessions, and Context Services, Vertex AI Search and Vector Search, BigQuery-powered AI and knowledge services, AI observability, monitoring, security, and governance services.
Create the AI Engineering paved road through reusable frameworks, accelerators, SDKs, and engineering standards.
Improve developer productivity through platform automation and self-service capabilities.
Drive engineering adoption and maturity across AI and agent-based solution teams.
Establish enterprise-grade operational capabilities, observability standards, and support models.
Ensure platform reliability, scalability, security, and compliance.
Drive cost optimization, operational excellence, and continuous platform improvement.

Requirements

Bachelor's Degree
Minimum 10 years of related technology experience
Minimum 5 years of experience leading engineering, platform, or technology delivery teams
Minimum 3 years of experience building, operating, or modernizing cloud-based platforms
Experience leading large-scale technology initiatives in a complex, highly regulated environment
Experience developing and executing technology roadmaps, platform strategies, and target-state architecture
Experience managing cross-functional teams, vendors, and strategic technology partners
Experience establishing and operating highly available, secure, and resilient technology services
Experience with software engineering, platform engineering, DevOps, CI/CD, APIs, and cloud-native architectures
Experience driving operational excellence through observability, monitoring, incident management, and service reliability practices
Strong stakeholder management, communication, and influencing skills with the ability to engage technical and non-technical leaders
Demonstrated experience building, coaching, and developing high-performing engineering teams
Experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Run, Pub/Sub, AlloyDB, and cloud-native platform services
Experience with generative AI, agentic systems, AI/ML platforms, and enterprise AI solution delivery
Experience with Vertex AI, Gemini Enterprise Agent Platform, Agent Development Kit (ADK), Agent Runtime, and AI governance capabilities
Experience implementing enterprise AI capabilities such as Agent Development & Orchestration, Model & Reasoning Services, Knowledge & Retrieval, Memory & State Management, Runtime & Execution, Governance & Observability
Experience developing enterprise platforms, paved roads, reusable services, frameworks, and engineering accelerators
Experience working with enterprise architecture, information security, risk, compliance, and regulatory teams
Financial services or other highly regulated industry experience preferred

Skills

Google Cloud Platform (GCP)
Vertex AI
BigQuery
Cloud Run
Pub/Sub
AlloyDB
Generative AI
Agentic systems
AI/ML platforms
Enterprise AI solution delivery
Gemini Enterprise Agent Platform
Agent Development Kit (ADK)
Agent Runtime
AI governance
Software engineering
Platform engineering
DevOps
CI/CD
APIs
Cloud-native architectures
Observability
Monitoring
Incident management
Service reliability practices

Location

Office

Work Type

Office
Hybrid

Experience Level

Senior Manager
Minimum 10 years of related technology experience
Minimum 5 years of experience leading engineering, platform, or technology delivery teams
Minimum 3 years of experience building, operating, or modernizing cloud-based platforms

Education Level

Bachelor's Degree

Salary/Compensations

93,000.00 - 189,000.00 USD Annual

Benefits

Health insurance coverage
Wellness program
Life and disability insurance
Retirement savings plan
Paid leave programs
Paid holidays
Paid time off (PTO)

About the Company

Huntington is an Equal Opportunity Employer.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Equal Opportunity

Huntington is an Equal Opportunity Employer.