Executive Director, Enterprise AI Engineering

3M HEALTHCARE; Buffalo (NY); On-site; USD 201,200 - 335,300; Full time

Job summary

M&T Bank in Buffalo, NY seeks a Director of AI Engineering to lead the enterprise AI strategy and platform enablement. You will oversee multiple engineering and architecture teams, embedding AI into SDLC with governance, risk controls, and measurable value realization.

The role focuses on scaling GenAI capabilities, managing budgets, and partnering with senior leaders to drive AI adoption and enterprise transformation across technology and lines of business.

Qualifications

• Combined minimum of 15 years of higher education and/or work experience.
• Minimum 4 years of engineering and/or architecture experience.
• Minimum 11 years of large technology management or program leadership experience.
• Experience with project management, word processing, and spreadsheet applications.
• Strong problem‑solving, analytical, and decision‑making skills.

Responsibilities

• Build technology divisional strategy across departments in partnership with peers and Technology senior management, positioning AI and GenAI as core enterprise engineering capabilities.
• Lead enterprise AI platform capabilities including GenAI platforms, LLM integration patterns, model and tool onboarding, and AI‑enabled developer experience.
• Oversee systems development activities of assigned teams, including staff assignments and ensuring timely completion within budget.
• Define and manage AI delivery roadmaps, adoption models, success metrics, dependencies, milestones, and KPI/OKR reporting.
• Define AI standards, policies, and guardrails and ensure regulatory alignment within AI platforms and SDLC workflows.

Skills

Executive leadership

AI strategy

Program management

Stakeholder management

Governance & risk

Communication

Strategic planning

Education

Master’s degree

Tools

CI/CD tooling

Developer platforms

Job description

M&T Bank in Buffalo, NY seeks a Director of AI Engineering to lead the enterprise AI strategy and platform enablement. You will oversee multiple engineering and architecture teams, embedding AI into SDLC with governance, risk controls, and measurable value realization.

The role focuses on scaling GenAI capabilities, managing budgets, and partnering with senior leaders to drive AI adoption and enterprise transformation across technology and lines of business.