Senior AI Workflow Engineer

Light & Wonder•Las Vegas, NV

20h

About The Position

We’re launching a company-wide AI Transformation to embed artificial intelligence and automation into how we operate, innovate, and deliver value, across every function of the business. In this role, you will be a catalyst for that transformation. You’ll partner directly with business leaders to identify high-impact opportunities, design and deploy AI-driven solutions, and drive adoption that delivers measurable results. This position combines technical engineering insight, strategic business analysis, and change leadership to accelerate AI-powered performance and productivity at scale.

Requirements

5+ years of software engineering experience, strong proficiency in languages such as Python, C#, 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.
Proven ability to collaborate with non-technical stakeholders, analyze business processes, and deliver solutions with measurable business value.
Excellent communication, presentation, and storytelling skills; comfortable translating technical concepts into business outcomes.
Self-directed project ownership from discovery through deployment, monitoring, and iteration.

Nice To Haves

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

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.
Translate business challenges into clear technical requirements and design.
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.
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.