GenAI Platform Engineering Lead (AI)

Location: Buffalo, New York, United States of America

Salary: $116,400–$194,000 annual USD

Company

M&T Bank is a banking organization operating under financial, risk, security, audit, and regulatory controls.

What you will do

• Lead the reliability, observability, service assurance, and operational readiness of the Bank’s AI platform.
• Direct incident response, troubleshooting, escalation, root-cause analysis, corrective actions, and production support.
• Build and maintain observability pipelines with OpenTelemetry, Prometheus, Grafana, Azure Monitor, and Log Analytics.
• Oversee Azure infrastructure, Azure API Management, Microsoft Entra ID, Terraform, and controlled CI/CD deployment pipelines.
• Drive automation with Python, Bash, PowerShell, GitHub Actions, GitLab CI, and infrastructure-as-code practices.
• Manage engineering teams, client relationships, staffing, project priorities, budgets, vendors, and cross-functional work with cybersecurity, risk, architecture, and application teams.

Requirements

• At least 9 years of combined higher education and/or work experience, including 4 years in engineering or architecture and 3 years in leadership.
• At least 5 years in site reliability engineering, platform operations, infrastructure engineering, or a related discipline, including production on-call support.
• Hands-on Azure experience with Azure API Management, Azure Monitor, Log Analytics, Microsoft Entra ID, and Terraform.
• Experience with metrics, traces, logs, observability pipelines, infrastructure CI/CD, scripting, automation, and production incident response.
• Strong analytical, problem-solving, project management, presentation, written communication, and decision-making skills.
• Experience leading and developing engineers, coordinating complex projects, and operating within risk, audit, security, change-management, and regulatory requirements.

Nice to have

• Bachelor’s degree and 10 or more years of technology management, SRE, platform operations, or large program leadership experience.
• Experience operating AI or large language model platforms in production.
• Knowledge of token cost tracking, model latency monitoring, provider failover, caller-level rate limiting, AI gateway patterns, prompt logging, PII interception, and content filtering.
• Experience integrating application infrastructure with SIEM platforms and working in regulated environments.

Culture & Benefits

• Work supports collaboration across technology, business, risk, cybersecurity, architecture, and vendor partners.
• Operational practices emphasize reliability, auditability, security, cost awareness, documentation, and continuous improvement.
• The role includes leadership development, staffing oversight, performance management, and budget responsibility.