Sr Manager AI-Enabled Engineering

MGM Resorts International•Las Vegas, NV

1d•Onsite

About The Position

The Senior Manager, AI-Enabled Engineering leads and develops a high-performing engineering team that delivers scalable, secure, and reliable solutions through AI-augmented development practices. Partnering closely with cross-functional stakeholders, this role drives predictable execution, advances AI-enabled engineering capabilities, and fosters a culture of technical excellence, operational rigor, and continuous improvement. The Senior Manager is responsible for hiring, coaching, career development, and performance management for a team of 3–5 direct-report engineers, while also overseeing contingent resources by setting clear expectations, ensuring accountability, and maintaining high standards for quality and delivery.

Requirements

2+ years of experience leading and managing engineering teams, including hiring, coaching, performance management, and talent development.
6+ years of professional engineering experience with a strong foundation in software delivery, engineering operations, and technical collaboration.
Demonstrated ability to build, develop, and retain high-performing engineering talent within fast-paced, evolving environments.
Experience providing AI-augmented quality oversight through the use of dashboards, metrics, and systemic quality indicators rather than relying solely on manual review processes.
Strong understanding of AI-aware estimation and delivery planning, including recognizing where AI significantly accelerates work and where impact is more limited.
Ability to drive outcome-based engineering evaluation by emphasizing decision quality, architectural soundness, operational reliability, and defect prevention, while partnering effectively across Product Management, Design, and Quality Engineering.

Responsibilities

Lead the team in delivering sprint and quarterly commitments with a strong focus on quality, reliability, and predictable execution.
Partner closely with Product Management and Design to drive roadmap planning, estimation, prioritization, and delivery trade-off decisions.
Foster a healthy, high-performing engineering culture by supporting team engagement, continuous learning, sustainable on-call practices, and proactive technical debt management.
Establish and reinforce strong engineering practices across the team, including code review, testing strategy, CI/CD pipelines, observability, and operational excellence.
Build AI fluency across the organization by enabling engineers to effectively leverage AI tools in daily workflows while applying critical judgment and oversight to AI-generated output.
Evolve engineering performance and quality practices by leveraging AI-driven metrics, emphasizing architectural judgment, systems thinking, and AI-augmented problem solving over traditional output-based measures.