Entergy

Sr. Platform Engineer (AI/ML)

Entergy
US New Orleans, LA, US
Hybrid 2026-06-24
Estimated salary · New Orleans
~ $79,657 - $129,756
Low
$61K
Median
$79K
High
$101K
Market in New Orleans · BLS OEWS 2025
Estimated net pay
$5,239 - $8,037
/month · 21% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

**Job Title:** Sr. Platform Engineer (AI/ML) **Work Place Flexibility:** Hybrid **Legal Entity:** Entergy Services, LLC **\*\*\*The referred location for position is New Orleans, The Woodlands, Texas will be considered\*\*\*** **Job Summary/Purpose** The role of the Sr. Platform Engineer (Cloud) is to lead the AI/ML Platform teams engineering cloud technology efforts in support of the Artificial Intelligence organization, IT organization and other internal groups that wish to develop on the platform. This role will work in an integrated DevOps model to provide product ownership for the technology and tools to enable cloud. They will adopt a Platform as a Product mentality and operate with agile product development principles to improve the current platforms and build new ones. This role will provide product ownership for our AWS and Azure environments. This platform will support products to be built that are a combination of software, data, and other digital tools that automate work processes. Platform products may leverage a combination of analytics tools to automate decision making such as descriptive, predictive, and prescriptive analytics models. Platform products may also leverage a combination of automation tools such as robotic process automation. Platform products may also include generative AI tools, providing a conversational interface to AI products. **Job Duties/Responsibilities** 1\. Cloud Strategy and Roadmap: Develop and maintain a comprehensive cloud strategy aligned with the organization's goals, defining a roadmap for leveraging AWS and Azure services to meet business and technical requirements. 2\. Cloud Resource Management: Oversee the provisioning, scaling, and decommissioning of cloud resources on AWS and Azure, optimizing resource utilization for cost\-effectiveness and performance. 3\. Security and Compliance: Implement and enforce security best practices across AWS and Azure environments,

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