Sr. AI Software Engineer

Responsibilities

• 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.

Qualifications

• 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

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