About the role
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 & Orchestration Model & Reasoning Services Knowledge & Retrieval Memory & State Management Runtime, Tools & Execution Governance, Security & Observability Google Cloud AI Platform Services 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 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). 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. Welcome to Huntington! At Huntington, we look out for people.
From reinventing banking with game-changing innovations to building an internal culture that creates lifelong bonds, together, we can make people’s lives better. And amazing things happen when we look out for each other. We prove it every day. Whether it’s helping a colleague or collaborating on a new tool that will revolutionize the way people save money, our actions can have a huge impact. Our colleagues look out for people with a Can-Do Attitude, Service Heart and Forward Thinking. Those are our values—simple but powerful. Each of them pushes us do the right thing, to do right by people.
Because people are what matter. If that sounds like you, we hope you’ll apply to join our team. If you’d like to learn more about how Huntington looks out for people, visit https://www.huntington.com/lookingout We endeavor to make this site accessible to any and all users.
If you would like to contact us regarding the accessibility of this site or if you require a reasonable accommodation to apply for a job or to perform the essential functions of the job, please send an email to HuntingtonCareers@Huntington.com Reasonable Accommodations Reasonable Accommodations Various methods will be used throughout the recruitment process to verify candidate authenticity. Any interviews conducted virtually must be joined from a distraction-free environment, with the candidate on camera and without the use of virtual backgrounds.
EEOC Disclaimer Know Your Rights CA Data Privacy CA Data Privacy Rights Tobacco Disclaimer Tobacco-Free Hiring Practice 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.
Minimum requirements
- Bachelor's degree with 10+ years in technology and 5+ years leading engineering or platform teams
- 3+ years building, operating, or modernizing cloud-based platforms in regulated environments
- Experience with software engineering, DevOps, CI/CD, cloud-native architectures, and operational excellence practices
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