GenAI Platform Engineering​ Manager

About this role

Overview Manages the activities of several Engineering and/or Architecture Managers and/or Team Leaders responsible for building and operating M&T Bank’s enterprise AI platform. This team owns the Azure API Management gateway and Azure AI Foundry platform that enable the Bank to adopt and deliver AI solutions at scale. Provides strategic and operational leadership for the AI platform, including gateway management, platform lifecycle environments, model onboarding, vendor oversight, observability, reliability and resilience. Oversees the infrastructure that supports AI solutions across the Bank and ensures the platform meets applicable security, risk, regulatory and operational requirements. Responsible for the budget of cost center(s) spanning concurrent development streams and for providing long- and short-term strategic direction across multiple applications and technology domains. Serves as a primary contact for Engineering, Architecture and Technology leadership, business partners and third-party vendors. This is a high-impact leadership role within a small, high-agency team. The position owns the platform operating model, oversees the transition of vendor-developed capabilities to internal teams and hires, develops and leads the engineering talent responsible for the platform’s long-term operation.

Primary Responsibilities • Own the strategy, engineering and ongoing operation of M&T Bank’s enterprise AI platform, including the Azure API Management gateway, Azure AI Foundry platform, lifecycle environments and supporting cloud infrastructure. • Oversee gateway traffic management, rate limiting, identity integration, model routing, capacity planning and platform performance. • Establish and maintain platform service levels, operating procedures, runbooks, on-call practices, business continuity capabilities and incident response processes. • Ensure the AI platform is reliable, resilient, scalable and capable of supporting the Bank’s growing portfolio of AI use cases. • Oversee model onboarding and lifecycle management, including routing, provider integration, multi-provider resiliency and inference cost management. • Build and manage platform observability capabilities, including OpenTelemetry, security information and event management integration, cost and token monitoring, and same-day queryable audit trails. • Ensure platform controls support applicable AI safety and risk requirements, including content filtering, personally identifiable information interception, prompt shielding, access management and traceability. • Partner with the teams responsible for the Bank’s agentic risk framework and AI delivery capability to ensure platform design and operations align with enterprise AI governance standards. • Manage and participate in consultations with client management to analyze short- and long-range business requirements and recommend innovations that anticipate the future impact of changing business and technology needs. • Build positive relationships with clients, business partners, Engineering and Architecture leadership, Technology leadership, Risk, Cybersecurity, Legal, Compliance and other key stakeholders. • Monitor technology and industry direction related to AI platforms, API gateway infrastructure, cloud services, large language model serving and emerging vendor capabilities. • Research and initiate changes to existing technologies, processes and operating models when needed. Lead vendor and product analysis and provide recommendations to senior leadership. • Manage third-party delivery relationships and oversee the transition of vendor-developed platform capabilities to internal teams. Review statements of work, monitor milestones, hold partners accountable to deliverables and escalate delivery risks when appropriate. • Oversee multiple application development, infrastructure, support, testing, implementation and project management efforts across the AI platform. • Organize and direct the activities of engineering teams, assign personnel to initiatives and ensure the completion of schedules and deliverables. • Develop short- and long-term staffing plans. Hire, retain and develop a strong platform engineering team capable of operating critical AI infrastructure in a regulated environment. • Implement technology consistent with Division standards and long-range plans. Ensure adherence to all Department and Technology standards, procedures and documentation requirements. • Oversee solution and platform designs based on business, technology, security, risk and regulatory requirements. • Manage escalated platform issues and remain current on activities outside the team that may affect the platform, client environment or broader AI ecosystem. • Develop and manage multiple cost center budgets, including vendor and cloud platform expenses. Support cloud cost management and FinOps practices at the platform level. • Recommend and initiate policies and procedures that improve the performance, reliability, efficiency and effectiveness of the Department. • Demonstrate a strong understanding of the business environment and needs within the area of responsibility. Understand the technical, business, operational and regulatory impacts of a project, platform decision or production issue. • Communicate platform architecture, request flows, authorization controls, audit trails and operational processes clearly to senior management, auditors, regulators and other governance stakeholders. • Support the job growth and career development of team members through coaching, training plans, feedback, guidance and knowledge sharing. • Exercise the usual authority of a manager concerning staffing, performance appraisals, promotions, salary recommendations, performance management and terminations. • Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Design, implement, maintain and enhance internal controls to miti

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