Senior Manager, AI Engineering Platforms

Huntington National Bank•Columbus, OH

1d•Onsite

About The Position

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.

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

Nice To Haves

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

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.