Sr. AI Software Engineer

The Senior AI Software Engineer to design, develop, and deploy AI-powered solutions that enhance how Rheem builds and operates digital products. This role will partner closely with engineering, DevOps, QA, and product teams to implement practical AI solutions that deliver measurable business value.

This position will serve Rheem North America, located in Roswell, GA (Hybrid) and Indianapolis, IN (Hybrid). This role follows our hybrid work arrangement, with team members working in the office Monday through Thursday and remotely on Fridays.

At Rheem, we engineer products for life. For home life. For work life. For the life of the planet we all share. Backed by over 100 years of expertise, we're passionate about product innovation and boldly committed to sustainability. Our full line of global air and water solutions deliver reliable performance, comfort and energy savings for residential and commercial applications worldwide. From engineers to accountants, sales professionals to support experts, Rheem depends on people to power our innovations. Join Rheem and help shape the future of products that impact lives-every day.

Our Behavior Based Values set us apart:

• Listening to Understand - Open mind, learning from others, accepting feedback, embracing the objective
• Contributing Respectfully - Sharing opinions, valuing ideas, sharing opposing perspectives with respect
• Thinking Creatively - Applying creativity, seeking improvements, understanding from the customers' lens
• Acting with Responsibility - Owning decisions and actions, acting with integrity, embracing accountability

Rheem is an Equal Opportunity Employer. Rheem encourages all qualified candidates to apply, including those of any race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The job description above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Equivalent combination of education, experience, and skills may supplement above minimum job requirements.

For U.S. Based jobs, please note that Rheem is unable to hire candidates to be employed in the following states: Alaska, District of Columbia, Hawaii, Idaho, Mississippi, Montana, New Mexico, North Dakota, or Vermont.

Rheem and its subsidiaries do not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee.

• Bachelor''s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical field.

• 7+ years of experience in software engineering, cloud engineering, solution architecture, or related technical disciplines.

• 2+ years of hands-on experience implementing AI, Generative AI, machine learning, intelligent automation, or AI-powered software solutions.

• Proven track record leading the adoption of new technologies and driving transformational initiatives across multiple teams or business functions.

• Deep understanding of modern software development practices, cloud-native architectures, APIs, microservices, DevOps, CI/CD, and Agile delivery methodologies.

• Experience building and deploying solutions using platforms such as Azure OpenAI, GitHub Copilot, Microsoft Copilot, Claude, AWS Bedrock, Databricks, or similar AI technologies.

• Strong knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, model evaluation, and AI governance principles.

• Demonstrated ability to influence technical direction across engineering, product management, quality assurance, operations, and business stakeholders.

• Experience establishing standards, best practices, architectural patterns, and governance frameworks for emerging technologies.

• Strong communication and presentation skills with the ability to translate complex technical concepts into clear business outcomes for both technical and executive audiences.

• Experience mentoring engineers, driving technical excellence, and fostering technology adoption across an organization.

• Passion for innovation and applying AI to improve engineering productivity, software quality, customer experiences, and business performance.

• Experience with connected products, IoT platforms, smart home ecosystems, digital customer experiences, or SaaS platforms is strongly preferred.

At Rheem, how you achieve results is as important as the results you achieve. While LEADING OTHERS, you will be expected to demonstrate the following competencies and behaviors:

• Aligning Performance for Success

• Applying Business Knowledge

• Building Talent

• Building Trusted Relationships

• Communicating with Impact

• Customer-Orientation

• Delegating Tasks

• Executing/Leading the Team

• Facilitating Change

• Fostering Relationships/ Emotional Intelligence

• Influencing

• Problem Solving & Decision Making

• Supporting Innovation

Equivalent combination of education, experience, and skills may supplement above minimum job requirements.

#LI-FM1

#LI-Hybrid

• Design, develop, and support AI-enabled software solutions and automation capabilities.

• Build and maintain integrations with generative AI platforms, large language models, copilots, and AI services.

• Develop internal AI tools, agents, and workflows that improve engineering productivity and operational efficiency.

• Partner with product managers, architects, and engineering teams to identify opportunities where AI can accelerate delivery and improve outcomes.

• Implement AI capabilities within software development, testing, documentation, and support processes.

• Develop APIs, services, and cloud-based applications that leverage AI technologies.

• Evaluate model performance, prompt effectiveness, accuracy, and reliability while continuously improving solution quality.

• Follow established AI governance, security, privacy, and compliance requirements.

• Monitor emerging AI trends and contribute ideas for new use cases and future capabilities.

• Collaborate with teammates to document solutions, share knowledge, and advance organizational AI maturity.

• Design, develop, and support AI-enabled software solutions and automation capabilities.

• Build and maintain integrations with generative AI platforms, large language models, copilots, and AI services.

• Develop internal AI tools, agents, and workflows that improve engineering productivity and operational efficiency.

• Partner with product managers, architects, and engineering teams to identify opportunities where AI can accelerate delivery and improve outcomes.

• Implement AI capabilities within software development, testing, documentation, and support processes.

• Develop APIs, services, and cloud-based applications that leverage AI technologies.

• Evaluate model performance, prompt effectiveness, accuracy, and reliability while continuously improving solution quality.

• Follow established AI governance, security, privacy, and compliance requirements.

• Monitor emerging AI trends and contribute ideas for new use cases and future capabilities.

• Collaborate with teammates to document solutions, share knowledge, and advance organizational AI maturity.