Senior Manager, AI Engineering Platforms

Huntington National Bank; Pittsburgh (Allegheny County); Hybrid; USD 93,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life and disability insurance

Retirement savings plan

Paid leave

Paid holidays & PTO

Job summary

Huntington National Bank is seeking a Senior Manager to lead the AI Engineering Platforms on Google Cloud. You will define the strategy, drive adoption of Vertex AI and Gemini capabilities, and own platform services from governance to execution across the enterprise.

In this role, you will partner with architecture, engineering, data, security, risk, and product leaders to accelerate enterprise AI while ensuring security, resiliency, and regulatory compliance.

Qualifications

• Bachelor's degree required.
• 10+ years of technology experience.
• 5+ years leading engineering teams.
• 3+ years building or modernizing cloud platforms.
• Experience in regulated environments.
• Experience roadmapping technology and platforms.
• Strong cross-functional collaboration.
• Experience with software engineering, DevOps, CI/CD, APIs.

Responsibilities

• Define vision, strategy, and roadmap for Huntington's AI Platform on Google Cloud.
• Lead adoption of Vertex AI and Gemini Enterprise capabilities.
• Establish reusable platform services and reference architectures.
• Oversee agent development, model services, and knowledge retrieval.
• Drive platform governance, security, and observability.
• Ensure scalable, secure, compliant AI operations.

Skills

Technology leadership

Cloud platforms

Roadmaps & strategy

Cross-functional leadership

DevOps & CI/CD

Security & compliance

Stakeholder mgmt

Observability

GCP Vertex AI

AI governance

Education

Bachelor's Degree

Tools

Vertex AI

Gemini Enterprise Agent Platform

Agent Development Kit (ADK)

BigQuery

Cloud Run

Pub/Sub

AlloyDB

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.

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

• Agent Development & Orchestration
• Model & Reasoning Services
• Knowledge & Retrieval
• Memory & State Management
• Runtime, Tools & Execution
• Governance, Security & Observability

Google Cloud AI Platform Services

• 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).

• health insurance coverage
• wellness program
• life and disability insurance
• retirement savings plan
• paid leave programs
• paid holidays and paid time off (PTO)

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters

Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.