What are the responsibilities and job description for the Senior Manager, AI Engineering Platforms position at Huntington National Bank?
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
Lead Enterprise Capabilities Including
Provide Strategic And Operational Leadership For Capabilities Leveraging
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).
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.
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.
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.
- 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.
- 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
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).
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.