Senior Software Engineer - AI/ML

Acuity Inc.•Atlanta, GA

83d•$120,800 - $261,000•Hybrid

About The Position

Acuity Inc. is a market-leading industrial technology company that uses technology to solve problems in spaces, light, and more. Through its business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), the company designs, manufactures, and brings to market products and services that make a valuable difference in people’s lives. Acuity Inc. achieves growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video, and control platform. The company focuses on customer outcomes and drives growth and productivity to increase market share and deliver superior returns. Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe, and Asia, powered by approximately 13,000 dedicated and talented associates. This role requires on-site presence in Atlanta, GA, following a hybrid work model. The Software Engineer Senior will focus on AI/SDLC and Python, influencing technical direction through strong engineering judgment and collaboration. This role will technically lead a high-impact AI engineering team and play a defining role in how AI-driven software is built across a growing and ambitious organization. The Software Engineer Senior will work in close partnership with key business and technical stakeholders to define cloud-native, container-first solutions designed for enterprise use from day one. This is a hands-on technical leadership role where job duties include writing production code, driving proof-of-concepts, and validating architectural decisions through implementation.

Requirements

Strong technical leadership
8 years of experience in Advanced Python engineering (maintainable OOP, typing, async; FastAPI preferred)
4-5 years of experience in AI/ML methodologies
REST APIs and service integrations; cloud delivery (Azure preferred); containers; Kubernetes; modern CI/CD and DevOps practices
Quality mindset (unit/integration testing, reviews); security fundamentals (AuthN/AuthZ, secure build/deploy)
Agile collaboration; SQL and NoSQL data stores
Linux proficiency

Responsibilities

Lead the technical direction of a high impact AI engineering team, staying hands-on and setting the pace.
Design and deliver cloud native, container first services that are built to scale and ready for real enterprise use.
Partner closely with architects and key stakeholders to shape architecture, align on patterns, and translate strategy into practical engineering decisions.
Take AI enabled capabilities from early exploration and proof-of-concept through to secure, reliable, production deployments.
Mentor and coach engineers; Support hiring/onboarding critical talent and strengthening a collaborative culture.