Director of AI-Enabled Engineering & Delivery

MGM Resorts International; Las Vegas (NV); Híbrido; USD 136.000 - 182.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellness programs

Hotel discounts

Free employee meals

Free parking

Career development programs

Descripción de la vacante

MGM Resorts International is seeking a Director of AI-Enabled Engineering to lead multiple engineering teams and drive AI-augmented software delivery at scale. You will shape engineering strategy, optimize structure, and guide investments to improve delivery, quality, and innovation.

Ideal candidates bring 10+ years in engineering leadership of large-scale software systems, proven cross-functional collaboration, and experience with AI-driven organizational design and standards-as-code.

Formación

• Experience leading multiple engineering teams through Engineering Managers.
• 10+ years in engineering with large-scale software delivery.
• Experience in AI-era workforce planning and organizational design.
• Strong ability to encode engineering standards into AI-consumable formats.

Responsabilidades

• Own technical delivery, operational excellence, and engineering quality across a major product domain.
• Define and drive technical strategy aligned with product roadmaps and AI transformation goals.
• Lead workforce planning: team structure, staffing, and capacity between FTEs and AI-enabled capacity.
• Establish and scale engineering standards and
• Partner with Product, Design, and Quality Engineering leadership to ensure alignment and delivery.
• Advance AI-enabled engineering maturity by reassessing feasibility and cost models.

Conocimientos

Team leadership

Engineering strategy

AI-enabled delivery

Workforce planning

Cross-functional leadership

Descripción del empleo

MGM Resorts International is seeking a Director of AI-Enabled Engineering to lead multiple engineering teams and drive AI-augmented software delivery at scale. You will shape engineering strategy, optimize structure, and guide investments to improve delivery, quality, and innovation.

Ideal candidates bring 10+ years in engineering leadership of large-scale software systems, proven cross-functional collaboration, and experience with AI-driven organizational design and standards-as-code.