Senior AI Software Engineer — Hybrid, AI Platforms & Automation

U.S. Water Heating; Roswell (GA); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Rheem North America in Roswell, GA and Indianapolis, IN is seeking a Senior AI Software Engineer to design and deploy AI-powered solutions across digital products.

You will partner with engineering, DevOps, QA, and product teams to implement practical AI capabilities, govern models, and improve engineering productivity and customer experiences. Hybrid roles require coordination across sites.

Qualifications

• Bachelor's degree in a technical field.
• 7+ years of software engineering, cloud engineering, or solution architecture.
• 2+ years implementing AI, Generative AI, ML, or AI-powered software.
• Proven track record leading tech adoption across teams.
• Strong knowledge of modern software practices, cloud-native architectures.

Responsibilities

• Design, develop, and deploy AI-enabled software solutions.
• Build integrations with generative AI platforms and services.
• Develop internal AI tools and workflows to boost productivity.
• Collaborate with product and engineering teams to identify AI opportunities.
• Implement AI capabilities within development, testing, and support.
• Develop APIs and cloud-based apps leveraging AI tech.
• Evaluate model performance and iterate for reliability.
• Follow AI governance, security, and compliance requirements.
• Monitor AI trends and propose new use cases.
• Document solutions and promote AI maturity.

Skills

AI strategy & leadership

Cloud engineering

Solution architecture

DevOps & CI/CD

Agile delivery

Communication

Team mentoring

Prompt engineering

LLMs & RAG

AI governance

Education

Bachelors in CS/Eng/AI or related field

Tools

Azure OpenAI

GitHub Copilot

Microsoft Copilot

Claude

AWS Bedrock

Databricks

Job description

Rheem North America in Roswell, GA and Indianapolis, IN is seeking a Senior AI Software Engineer to design and deploy AI-powered solutions across digital products.

You will partner with engineering, DevOps, QA, and product teams to implement practical AI capabilities, govern models, and improve engineering productivity and customer experiences. Hybrid roles require coordination across sites.