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Senior AI Workflow Engineer

Light & Wonder

Salary not specified
Nov 7, 2025
Las Vegas, NV, US
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Light & Wonder is launching a company-wide AI Transformation to embed artificial intelligence and automation into how they operate, innovate, and deliver value across every function of the business. This role will be a catalyst for that transformation by partnering with business leaders to identify high-impact opportunities, design and deploy AI-driven solutions, and drive adoption that delivers measurable results.

Requirements

  • 5+ years of software engineering experience, strong proficiency in languages such as Python, C-Sharp, etc.
  • Demonstrated experience in building automation pipelines or AI-enabled systems that integrate multiple data sources or services.
  • Solid understanding of APIs, event/data pipelines, orchestration, and system integration patterns.
  • Hands-on experience with AI/LLM integration, embeddings, agent frameworks, or workflow orchestration.
  • Experience deploying or operating self-hosted models or private-cloud AI infrastructure.
  • Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and microservices.
  • Prior experience in process automation, digital transformation, or enterprise workflow improvement projects.

Responsibilities

  • Architect and implement end-to-end AI-enabled workflows, integrating internal and third-party systems (ERP, CRM, ticketing systems, etc.).
  • Rapidly prototype, validate, iterate, and deploy production workflows with a focus on reliability, scalability, and maintainability.
  • Establish observability and telemetry around usage, performance, drift, cost, and incident metrics.
  • Define and apply governance, compliance, and “human-in-the-loop” guardrails to ensure responsible AI operation (data privacy, audit trails, rollback capability).
  • Create and maintain documentation and change-control processes.
  • Partner with departmental leaders and subject-matter experts to map current workflows, identify inefficiencies, and manual pain-points.
  • Leverage qualitative and quantitative methods (interviews, process logs, system data) to prioritize opportunities where AI and automation can deliver meaningful value.

Other

  • Partner directly with business leaders to identify high-impact opportunities, design and deploy AI-driven solutions, and drive adoption that delivers measurable results.
  • Translate business challenges into clear technical requirements and design.
  • Present deployed workflows to business stakeholders, conduct training sessions, gather feedback, and refine solutions accordingly.
  • Serve as an internal champion and educator for AI adoption; drive awareness, build trust, address concerns, and enable non-technical users to leverage new tools.
  • Work with leadership to establish best practices, standards, internal playbooks, and governance frameworks for AI workflows across the organization.