Director, Technical AI Solutions

BetMGM

$176K — $230K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in software/data/ML engineering leadership with production platforms experience.
  • Proven track record in scaling delivery from proof-of-concept to full production.
  • Strong background in cloud and modern engineering, particularly within the AWS ecosystem.
  • Experience in managing teams and driving outcomes through leadership roles.
  • Familiarity with AI/ML platform delivery and production-level automation solutions is a plus.

Responsibilities

  • Own and manage the AI portfolio intake and delivery process, collaborating with the PMO.
  • Evaluate AI project opportunities based on various business and technical factors.
  • Maintain and communicate an updated AI roadmap to stakeholders.
  • Translate AI strategy into actionable delivery roadmaps with clear metrics and goals.
  • Track and report on the value realized from AI initiatives across multiple parameters.
  • Establish and oversee the AI delivery operating model and production readiness.
  • Lead and mentor AI teams, establishing clear development paths and workforce planning.

Benefits

  • Comprehensive benefits package.
  • Opportunities for performance-based bonuses.
  • Support for personal and professional development.
  • Flexible work arrangements and a hybrid work model.
Full Job Description

The Opportunity

About the Role

The Director, Technical AI Solutions is accountable for translating BetMGM’s AI strategy into a prioritized, governed, and executable portfolio of AI initiatives. This role owns the AI portfolio intake and delivery model, partnering closely with PMO to balance business value, delivery capacity, risk, and timing.

The Director leads AI delivery through a Technical AI Director/Builder responsible for AWS-based platforms, agentic frameworks, and early use cases—ensuring solutions move efficiently from intake to production while meeting enterprise standards for security, compliance, and scalability.
This role blends portfolio leadership, delivery accountability, and platform stewardship.


Responsibilities

  • Own the AI portfolio intake process, including intake criteria, evaluation frameworks, and prioritization mechanisms, in close partnership with PMO to align AI demand with enterprise planning cycles, capacity management, and dependencies.

  • Evaluate AI opportunities based on business value, measurable outcomes, technical feasibility, delivery effort, risk, compliance considerations, timetoimpact, and scalability potential.

  • Maintain a transparent, prioritized AI roadmap and communicate sequencing decisions, tradeoffs, and delivery status to executive and crossfunctional stakeholders.

  • Translate enterprise AI strategy and approved portfolio priorities into an executable delivery roadmap with clear milestones, ownership, and success metrics.

  • Define, track, and report on realized value from AI initiatives, including cost reduction, revenue enablement, customer experience improvements, and operational efficiency gains.

  • Establish and own the AI delivery operating model, including standardized AI and agent SDLC practices, production readiness criteria, release management, monitoring, and incident response.

  • Define reusable architecture patterns, tooling standards, and platform guardrails that enable consistent, secure, and scalable AI solution delivery.

  • Provide leadership, direction, and oversight to the Technical AI Director/Builder responsible for AWSbased AI platforms, agentic frameworks, core infrastructure, and early production use cases.

  • Balance rapid experimentation and proofofvalue delivery with longterm platform sustainability, reliability, and enterprise readiness.

  • Partner with Security, Legal, Compliance, and Technology Risk teams to operationalize AI governance and ensure solutions meet regulatory, privacy, and security requirements.

  • Ensure AI risk management is embedded into delivery processes through builtin controls, monitoring, and clearly defined escalation paths.

  • Serve as the primary AI delivery partner to Product, Operations, Marketing, Customer Experience, and Technology teams, translating technical progress into businessrelevant insights.

  • Manage crossfunctional dependencies and resolve delivery risks, blockers, and prioritization conflicts using sound judgment and enterpriselevel perspective.

  • Lead, coach, and develop AI leaders and senior contributors, establishing clear goals, expectations, and development paths.

  • Build workforce and hiring plans aligned to the growth and maturity of the AI portfolio and platform capabilities.

Qualifications

Required

  • 10+ years in software/data/ML engineering leadership, including responsibility for delivering production platforms or mission-critical services.

  • Proven experience scaling delivery from proof-of-concept to production (operating model, quality, reliability, stakeholder management).

  • Strong cloud and modern engineering background (e.g., AWS ecosystem; CI/CD; observability; security fundamentals).

  • Demonstrated ability to manage leaders (e.g., managing a 9builder9 director/manager-level role) and drive outcomes through others.

Preferred

  • Experience delivering AI/ML platforms or agent-based/automation solutions in production.

  • Familiarity with model risk management, governance patterns, and enterprise data/privacy constraints.

  • Experience in highly regulated or consumer-facing digital products where reliability, security, and trust are essential.

  • Strong vendor/partner management experience (platform tools, consultancies, managed services).

The annual salary range for this position is $176,240 to $230,000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.

Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc.


Compensation


The pay range for this position is as follows:


176,200.00--235,000.00

Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.

Gaming Compliance & Licensing Requirements

As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification.

In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives.

This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time.

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