Senior Manager, AI Engineering Platforms

Huntington; Chicago (IL); 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 and PTO

Job summary

Huntington is seeking a Senior Manager, AI Engineering Platforms to lead the strategy, engineering, and operations of the AI platform on Google Cloud. You will drive adoption of Vertex AI and Gemini Enterprise capabilities, define reusable services, and set standards that enable teams across the enterprise to build, deploy, govern, and operate AI solutions safely and at scale.

Collaborating with Architecture, Engineering, Data, Security, Risk, and Product leaders, you will shape the platform

Qualifications

• Bachelor's Degree required.
• 10+ years in technology roles; 5+ years leading engineering/platform teams.
• 3+ years building or modernizing cloud-based platforms.
• Experience with large-scale, regulated environments.
• Proven track record delivering enterprise AI capabilities.

Responsibilities

• Define the AI Engineering Platform strategy, roadmap, and standards.
• Lead development of reusable platform services and reference architectures.
• Oversee integration with Vertex AI, Gemini, and related tools.
• Drive platform reliability, security, and governance.
• Collaborate with Architecture, Engineering, Data, Security, Risk, and Product leadership.

Skills

Strategic leadership

Cross-functional collaboration

Platform engineering

Cloud-native architectures

DevOps/CI-CD

Observability

Stakeholder management

Education

Bachelor's Degree

Tools

Vertex AI

Gemini Enterprise Agent Platform

Agent Studio/ADK

Model Garden

BigQuery AI

Job description

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

Specific 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.

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.

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