Senior Manager, AI Engineering Platforms

Huntington Bank; Columbus (OH); Hybrid; USD 93,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Retirement savings plan

Paid leave and PTO

Life and disability insurance

Job summary

Huntington Bank is seeking a Senior Manager to lead the AI Engineering Platforms strategy and engineering on Google Cloud. You will drive cross-functional collaboration with Architecture, Engineering, Data, Infrastructure, Security, Risk, and Product leaders to deliver enterprise‑scale AI capabilities.

The role focuses on reusable platform services, governance, and observability, while maturing the paved road for AI deployment across the organization.

Qualifications

• Experience leading engineering, platform, or technology delivery teams.
• Strong track record in roadmaps, platform strategies, and target-state architecture.
• Proven ability to manage cross-functional teams and risk/compliance in regulated environments.
• Expertise in cloud-native architectures, DevOps, CI/CD, and observability.

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.
• Create the AI Engineering paved road through reusable frameworks, accelerators, SDKs, and engineering standards.
• Establish enterprise-grade operational capabilities, observability standards, and support models.

Skills

Leadership

Stakeholder management

Cloud architecture

DevOps/CI-CD

Strategic planning

Education

Bachelor's degree

Tools

Vertex AI

Gemini Enterprise Agent Platform

Agent Development Kit (ADK)

Cloud Run

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 OwnershipLead enterprise capabilities including:* Agent Development & Orchestration* Model & Reasoning Services* Knowledge & Retrieval* Memory & State Management* Runtime, Tools & Execution* Governance, Security & Observability### Google Cloud AI Platform ServicesProvide 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:**OfficeOur Approach to **Office** Workplace TypeCertain 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).