Senior Manager, AI Engineering Platforms

0101 The Huntington National Bank; Easton (OH); Hybrid; USD 93,000 - 189,000; Full time

Job summary

The Huntington National Bank is seeking a Senior Manager, AI Engineering Platforms to define and drive the enterprise AI platform strategy on Google Cloud. You will lead adoption of Vertex AI and Gemini, establish reusable services and governance, and partner with Architects, Data, Security, and Product leaders to scale AI safely.

You will oversee platform capabilities, runtime, memory and state management, observability, and execution, while advancing a paved road of standards and accelerators

Qualifications

• 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.

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.
• 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 Vertex AI, Gemini platforms, ADK, Model Garden, and AI governance capabilities.
• 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.

Skills

Stakeholder management

Communication

Influencing skills

Cross-functional leadership

Platform engineering

DevOps

Cloud-native architectures

Observability

Education

Bachelor's Degree

Tools

Vertex AI

Gemini Enterprise Agent Platform

ADK (Agent Development Kit)

Model Garden

Vertex AI Search

Job description

Senior Manager, AI Engineering Platforms

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 the 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.

Responsible for the enterprise AI engineering ecosystem including Vertex AI, Gemini Enterprise Agent Platform, agent development services, model management, knowledge and retrieval capabilities, memory and state services, runtime execution, observability, platform governance, and engineering enablement. This role drives the evolution of Huntington's AI Engineering paved road, transforming AI from isolated solutions into reusable enterprise capabilities that accelerate innovation while maintaining security, resiliency, and regulatory compliance.

Partner closely with Architecture, Engineering, Data, Infrastructure, Security, Risk, and Product leaders to define platform strategy, establish engineering standards, and operationalize enterprise AI capabilities across the organization.

Key Responsibilities

• AI Platform Strategy & Leadership 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.
• Platform Capabilities Ownership Lead enterprise capabilities including: Agent Development & Orchestration, Model & Reasoning Services, Knowledge & Retrieval, Memory & State Management, Runtime, Tools & Execution, Governance, Security & Observability.
• Google Cloud AI Platform Services 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.
• Engineering Enablement 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.
• Platform Operations & Reliability 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.

Success Looks Like

• Faster delivery of AI‑powered business capabilities.
• Increased adoption of reusable platform services.
• Improved developer productivity and engineering efficiency.
• Secure, governed, and compliant AI operations.
• Reduced duplication across AI initiatives.
• Scalable enterprise AI capabilities built on Google Cloud.

Basic Qualifications

• 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

Preferred Qualifications

• 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

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes

Workplace Type: Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in‑office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range

93,000.00 - 189,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

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