Senior AI Platform Engineer — Enablement Tools; Hybrid

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Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.

We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.

Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at  .

Work location:

• This position requires on-site presence in Broomfield, CO, following a hybrid work model.

This team exists to make AIS’ engineers and product managers dramatically more productive with AI — it does not build the AI-powered features that ship inside AIS’ products (Atrius, Distech, and QSC already own that). Think of us as the internal platform/enablement group: we build the tools, agents, and standards that let the rest of product engineering move faster and safer with AI, and we own the metrics that prove it's working.

We're deliberately scoped as a tools and enablement team, not a research group or an organizational-transformation function — we make transformation possible for others rather than driving it ourselves.

You'll be working shoulder-to-shoulder with a small, senior group to stand up the platform, tooling, and practices that the rest of engineering will rely on. This role blends hands-on software/platform engineering with a "developer relations" mindset — you're as motivated by making other engineers more effective as you are by building things yourself.

• Build and maintain internal AI productivity tools and the platform used to develop, package, and distribute them across engineering and product development.
• Design, build, and operate internal AI agents and automations — whether standalone (e.g., agents running on a web service) or embedded (e.g., a skill invoked from a chat or IDE surface). We treat these as variations on the same underlying platform, and you may end up shipping the same capability in both forms.
• Define productivity metrics for engineering/product-development work and evaluate our tools and agents against them, iterating based on results.
• Own AI governance for internal tooling: guardrails and review processes (e.g., preventing token-cost regressions, bad context/prompt injection reaching an agent), access controls, and standards for what "safe to deploy" means for internal AI tools and agents.
• Partner with Security and IT to clear the path for AI tooling adoption — you'll need real influencing and communication skills to work through the friction that comes with that territory.
• Manage identity and access for AI agents distinctly from human users — as agents get real tool/system access, their credentials, permissions, and audit trail need the same rigor as a human account, if not more.
• Lead training and enablement sessions to help engineers and PMs get real value from the tools you build.
• Treat adoption as a first-class engineering problem — track measurable outcomes (tool adoption rates, time saved, reduction in manual…