Senior AI & Data Solutions Engineer

Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety, and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality, and transportation, we improve lives, empower critical industries, and ensure the safe transport of food, lifesaving medicines, and more. Since inventing modern air conditioning in 1902, we lead with purpose to enhance the lives we live and the world we share.

About the role

Play a key role in advancing Carrier's AI and data transformation strategy through innovative analytics and AI solutions. Support high-visibility, enterprise-scale initiatives and programs that directly impact business performance and decision-making. Collaborate with global cross-functional teams across business and technology functions to deliver scalable digital solutions. Provide opportunities to work with modern AI, machine learning, cloud, and data engineering technologies in a rapidly evolving environment. Contribute to strategic programs with significant business impact while gaining exposure to enterprise data, analytics, and AI leadership initiatives.

Responsibilities

• Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value
• Build and maintain robust data pipelines, data models, and enterprise data assets that support reporting, analytics, and AI initiatives
• Partner with business stakeholders to translate requirements into data-driven solutions and actionable insights
• Implement data governance, quality, security, and responsible AI practices to ensure trusted and compliant use of enterprise data
• Support the development and enhancement of AI capabilities through predictive modeling, automation, and continuous innovation

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or Information Systems field of study
• 8+ years of professional experience in AI/ML, data engineering, data science, or advanced analytics
• Must be a U.S. Citizen or U.S. Permanent Resident
• This role can work anywhere in the US

Preferred Qualifications

• Master’s Degree
• Hands-on experience developing, validating, and deploying machine learning models and scalable data pipelines within production environments
• Expertise in generative AI, MLOps, Azure AI/Data platforms, and enterprise-scale analytics solutions
• Familiarity with manufacturing, aftermarket, supply chain, or industrial business domains
• Experience delivering AI products from concept through production deployment
• Create complex queries and codes using Python and SQL
• Background working with modern cloud-based data platforms and data engineering tools, supported by effective problem-solving, stakeholder management, and cross-functional collaboration capabilities

Pay

The annual salary for this position is between $96,000.00 - $192,000.00. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. This position is entitled to short-term cash incentives, subject to plan requirements.

Benefits

• Health Care Benefits: Medical, Dental, Vision; Wellness incentives
• Retirement Benefits
• Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
• Disability: Short-term and long-term disability
• Life Insurance and Accidental Death and Dismemberment
• Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
• Tuition Assistance

The specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.