Senior Manager, AI Engineering Platforms

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 & OrchestrationModel & Reasoning ServicesKnowledge & RetrievalMemory & State ManagementRuntime, Tools & ExecutionGovernance, Security & Observability Google Cloud AI Platform Services Provide Strategic And Operational Leadership For Capabilities Leveraging Vertex AI and Gemini Enterprise Agent PlatformAgent Studio and Agent Development Kit (ADK)Model Garden and Gemini model servicesAgent Runtime and Code ExecutionMemory Bank, Sessions, and Context ServicesVertex AI Search and Vector SearchBigQuery-powered AI and knowledge servicesAI 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 DegreeMinimum 10 years of related technology experienceMinimum 5 years of experience leading engineering, platform, or technology delivery teamsMinimum 3 years of experience building, operating, or modernizing cloud-based platformsExperience leading large-scale technology initiatives in a complex, highly regulated environmentExperience developing and executing technology roadmaps, platform strategies, and target-state architectureExperience managing cross-functional teams, vendors, and strategic technology partnersExperience establishing and operating highly available, secure, and resilient technology servicesExperience with software engineering, platform engineering, DevOps, CI/CD, APIs, and cloud-native architecturesExperience driving operational excellence through observability, monitoring, incident management, and service reliability practicesStrong stakeholder management, communication, and influencing skills with the ability to engage technical and non-technical leadersDemonstrated 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 servicesExperience with generative AI, agentic systems, AI/ML platforms, and enterprise AI solution deliveryExperience with Vertex AI, Gemini Enterprise Agent Platform, Agent Development Kit (ADK), Agent Runtime, and AI governance capabilitiesExperience implementing enterprise AI capabilities such as:Agent Development & OrchestrationModel & Reasoning ServicesKnowledge & RetrievalMemory & State ManagementRuntime & ExecutionGovernance & ObservabilityExperience developing enterprise platforms, paved roads, reusable services, frameworks, and engineering acceleratorsExperience working with enterprise architecture, information security, risk, compliance, and regulatory teamsFinancial 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). 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.