> Markdown version of [/jobs/ext/3427812-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3427812-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Light & Wonder - **Location:** Las Vegas, NV, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Code Review, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Large Language Models, Model Validation, Git, AI Platforms, Uipath, Data Lineage, Low-code, Software Version Control, Data Pipelines - **Published:** September 10, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88285766/1 ## About the Role Required Skills: Technical Python (or equivalent) for automation and data pipeline work. Cloud platform experience (Azure/AWS preferred). Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI). Git-based version control, structured code review, and change management practices. SQL and ETL/data pipeline experience. Working familiarity with low-code/RPA platforms (Power Platform, UiPath, Copilot Studio), with enough depth to competently review, not necessarily build in them. Understanding of AI governance concepts: model validation, drift detection, data lineage, audit trails. Required Skills: Domain & Communication Able to explain technical risk in plain language to non-technical finance staff whose builds are under review. Working knowledge of finance processes sufficient to judge business context and materiality of a given AI build. Comfortable working across business units with varying technical maturity. Nice to Have Finance/accounting background or FP&A exposure. Experience standing up a citizen-developer governance program or AI Center of Excellence. SOX/internal controls familiarity. ## Description Serves as the technical gatekeeper for AI tools built by non-developers and aids in the builds and deployment of AI solutions across the enterprise, specifically the CFO organization. Ensures that when a business user builds something with AI, it's safe, accurate, and operates within the established governance guidelines., Review AI solutions built by non-developers against best-practice engineering standards and the team's governance framework before they go into production. Champion reusable architecture patterns and templates so solutions can be redeployed across all BUs rather than rebuilt each time. Assess citizen-developer builds for data lineage, model accuracy thresholds, human-in-the-loop safeguards, and audit trail compliance, then flag and lead to remediate gaps. Aid to implement automated output validation, drift detection, and exception escalation for solutions post-launch. Track token/API usage and cost at the solution and BU level; support monthly usage reporting to CFO leadership. Design, build, and deploy AI/LLM-integrated solutions for FP&A, accounting, audit, and reporting workflows; maintain all code in Git with version control and peer review. Partner with the FP&A AI Sr. Analyst on requirements, the AI Governance lead on control design, and enterprise IT/architecture on alignment. ## Related Videos - [How to achieve web automation with UiPath](https://www.wearedevelopers.com/videos/310-how-to-achieve-web-automation-with-uipath) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [The Deichmann RPA journey: Step by step with low-code automation to success](https://www.wearedevelopers.com/videos/1566-the-deichmann-rpa-journey-step-by-step-with-low-code-automation-to-success) - [RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer](https://www.wearedevelopers.com/videos/271-rpa-crash-course-for-net-developers-intro-into-the-world-of-rpa-from-the-perspective-of-a-net-developer) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)